id	sid	tid	token	lemma	pos
ap-2024	1	1	acta	acta	PROPN
ap-2024	1	2	polytechnica	polytechnica	PROPN
ap-2024	1	3	doi:10.14311	doi:10.14311	PROPN
ap-2024	1	4	/	/	SYM
ap-2024	1	5	ap.2013.53.0895	ap.2013.53.0895	PROPN
ap-2024	1	6	acta	acta	PROPN
ap-2024	1	7	polytechnica	polytechnica	PROPN
ap-2024	1	8	53(6):895–900	53(6):895–900	NOUN
ap-2024	1	9	,	,	PUNCT
ap-2024	1	10	2013	2013	NUM
ap-2024	1	11	©	©	PROPN
ap-2024	1	12	czech	czech	PROPN
ap-2024	1	13	technical	technical	PROPN
ap-2024	1	14	university	university	PROPN
ap-2024	1	15	in	in	ADP
ap-2024	1	16	prague	prague	PROPN
ap-2024	1	17	,	,	PUNCT
ap-2024	1	18	2013	2013	NUM
ap-2024	1	19	available	available	ADJ
ap-2024	1	20	online	online	ADV
ap-2024	1	21	at	at	ADP
ap-2024	1	22	http://ojs.cvut.cz/ojs/index.php/ap	http://ojs.cvut.cz/ojs/index.php/ap	PROPN
ap-2024	1	23	robust	robust	ADJ
ap-2024	1	24	control	control	NOUN
ap-2024	1	25	of	of	ADP
ap-2024	1	26	end	end	NOUN
ap-2024	1	27	-	-	PUNCT
ap-2024	1	28	tidal	tidal	ADJ
ap-2024	1	29	co2	co2	NOUN
ap-2024	1	30	using	use	VERB
ap-2024	1	31	the	the	DET
ap-2024	1	32	h∞	h∞	PROPN
ap-2024	1	33	loop	loop	NOUN
ap-2024	1	34	-	-	PUNCT
ap-2024	1	35	shaping	shape	VERB
ap-2024	1	36	approach	approach	NOUN
ap-2024	1	37	anake	anake	NOUN
ap-2024	1	38	pomprapaa,∗	pomprapaa,∗	PROPN
ap-2024	1	39	,	,	PUNCT
ap-2024	1	40	berno	berno	NOUN
ap-2024	1	41	misgelda	misgelda	PROPN
ap-2024	1	42	,	,	PUNCT
ap-2024	1	43	verónica	verónica	PROPN
ap-2024	1	44	sorgatoa	sorgatoa	PROPN
ap-2024	1	45	,	,	PUNCT
ap-2024	1	46	andré	andré	PROPN
ap-2024	1	47	stollenwerkb	stollenwerkb	PROPN
ap-2024	1	48	,	,	PUNCT
ap-2024	1	49	marian	marian	PROPN
ap-2024	1	50	waltera	waltera	PROPN
ap-2024	1	51	,	,	PUNCT
ap-2024	1	52	steffen	steffen	PROPN
ap-2024	1	53	leonhardta	leonhardta	PROPN
ap-2024	1	54	a	a	DET
ap-2024	1	55	philips	philips	PROPN
ap-2024	1	56	chair	chair	NOUN
ap-2024	1	57	for	for	ADP
ap-2024	1	58	medical	medical	ADJ
ap-2024	1	59	information	information	NOUN
ap-2024	1	60	technology	technology	NOUN
ap-2024	1	61	,	,	PUNCT
ap-2024	1	62	helmholtz	helmholtz	PROPN
ap-2024	1	63	institute	institute	PROPN
ap-2024	1	64	for	for	ADP
ap-2024	1	65	biomedical	biomedical	ADJ
ap-2024	1	66	engineering	engineering	NOUN
ap-2024	1	67	,	,	PUNCT
ap-2024	1	68	rwth	rwth	PROPN
ap-2024	1	69	aachen	aachen	PROPN
ap-2024	1	70	university	university	PROPN
ap-2024	1	71	,	,	PUNCT
ap-2024	1	72	pauwelsstrasse	pauwelsstrasse	NOUN
ap-2024	1	73	20	20	NUM
ap-2024	1	74	,	,	PUNCT
ap-2024	1	75	d-52074	d-52074	PROPN
ap-2024	1	76	aachen	aachen	PROPN
ap-2024	1	77	,	,	PUNCT
ap-2024	1	78	germany	germany	PROPN
ap-2024	1	79	b	b	PROPN
ap-2024	1	80	embedded	embed	VERB
ap-2024	1	81	software	software	NOUN
ap-2024	1	82	laboratory	laboratory	NOUN
ap-2024	1	83	,	,	PUNCT
ap-2024	1	84	chair	chair	NOUN
ap-2024	1	85	of	of	ADP
ap-2024	1	86	computer	computer	NOUN
ap-2024	1	87	science	science	NOUN
ap-2024	1	88	11	11	NUM
ap-2024	1	89	,	,	PUNCT
ap-2024	1	90	rwth	rwth	PROPN
ap-2024	1	91	aachen	aachen	PROPN
ap-2024	1	92	university	university	PROPN
ap-2024	1	93	,	,	PUNCT
ap-2024	1	94	ahornstrasse	ahornstrasse	NOUN
ap-2024	1	95	55	55	NUM
ap-2024	1	96	,	,	PUNCT
ap-2024	1	97	d-52074	d-52074	PROPN
ap-2024	1	98	aachen	aachen	PROPN
ap-2024	1	99	,	,	PUNCT
ap-2024	1	100	germany	germany	PROPN
ap-2024	1	101	∗	∗	NOUN
ap-2024	1	102	corresponding	correspond	VERB
ap-2024	1	103	author	author	NOUN
ap-2024	1	104	:	:	PUNCT
ap-2024	1	105	pomprapa@hia.rwth-aachen.de	pomprapa@hia.rwth-aachen.de	NOUN
ap-2024	1	106	abstract	abstract	NOUN
ap-2024	1	107	.	.	PUNCT
ap-2024	2	1	mechanically	mechanically	ADV
ap-2024	2	2	ventilated	ventilate	VERB
ap-2024	2	3	patients	patient	NOUN
ap-2024	2	4	require	require	VERB
ap-2024	2	5	appropriate	appropriate	ADJ
ap-2024	2	6	settings	setting	NOUN
ap-2024	2	7	of	of	ADP
ap-2024	2	8	respiratory	respiratory	ADJ
ap-2024	2	9	control	control	NOUN
ap-2024	2	10	variables	variable	NOUN
ap-2024	2	11	to	to	PART
ap-2024	2	12	maintain	maintain	VERB
ap-2024	2	13	acceptable	acceptable	ADJ
ap-2024	2	14	gas	gas	NOUN
ap-2024	2	15	exchange	exchange	NOUN
ap-2024	2	16	.	.	PUNCT
ap-2024	3	1	to	to	PART
ap-2024	3	2	control	control	VERB
ap-2024	3	3	the	the	DET
ap-2024	3	4	carbon	carbon	NOUN
ap-2024	3	5	dioxide	dioxide	NOUN
ap-2024	3	6	(	(	PUNCT
ap-2024	3	7	co2	co2	NOUN
ap-2024	3	8	)	)	PUNCT
ap-2024	3	9	level	level	NOUN
ap-2024	3	10	effectively	effectively	ADV
ap-2024	3	11	and	and	CCONJ
ap-2024	3	12	automatically	automatically	ADV
ap-2024	3	13	,	,	PUNCT
ap-2024	3	14	system	system	NOUN
ap-2024	3	15	identification	identification	NOUN
ap-2024	3	16	based	base	VERB
ap-2024	3	17	on	on	ADP
ap-2024	3	18	a	a	DET
ap-2024	3	19	human	human	ADJ
ap-2024	3	20	subject	subject	NOUN
ap-2024	3	21	was	be	AUX
ap-2024	3	22	performed	perform	VERB
ap-2024	3	23	using	use	VERB
ap-2024	3	24	a	a	DET
ap-2024	3	25	linear	linear	ADJ
ap-2024	3	26	affine	affine	NOUN
ap-2024	3	27	model	model	NOUN
ap-2024	3	28	and	and	CCONJ
ap-2024	3	29	a	a	DET
ap-2024	3	30	nonlinear	nonlinear	ADJ
ap-2024	3	31	hammerstein	hammerstein	PROPN
ap-2024	3	32	structure	structure	NOUN
ap-2024	3	33	.	.	PUNCT
ap-2024	4	1	subsequently	subsequently	ADV
ap-2024	4	2	,	,	PUNCT
ap-2024	4	3	a	a	DET
ap-2024	4	4	robust	robust	ADJ
ap-2024	4	5	controller	controller	NOUN
ap-2024	4	6	was	be	AUX
ap-2024	4	7	designed	design	VERB
ap-2024	4	8	using	use	VERB
ap-2024	4	9	the	the	DET
ap-2024	4	10	h∞	h∞	PROPN
ap-2024	4	11	loop	loop	NOUN
ap-2024	4	12	-	-	PUNCT
ap-2024	4	13	shaping	shaping	NOUN
ap-2024	4	14	approach	approach	NOUN
ap-2024	4	15	,	,	PUNCT
ap-2024	4	16	which	which	PRON
ap-2024	4	17	synthesizes	synthesize	VERB
ap-2024	4	18	the	the	DET
ap-2024	4	19	optimal	optimal	ADJ
ap-2024	4	20	controller	controller	NOUN
ap-2024	4	21	based	base	VERB
ap-2024	4	22	on	on	ADP
ap-2024	4	23	a	a	DET
ap-2024	4	24	specific	specific	ADJ
ap-2024	4	25	objective	objective	NOUN
ap-2024	4	26	by	by	ADP
ap-2024	4	27	achieving	achieve	VERB
ap-2024	4	28	stability	stability	NOUN
ap-2024	4	29	with	with	ADP
ap-2024	4	30	guaranteed	guarantee	VERB
ap-2024	4	31	performance	performance	NOUN
ap-2024	4	32	.	.	PUNCT
ap-2024	5	1	for	for	ADP
ap-2024	5	2	demonstration	demonstration	NOUN
ap-2024	5	3	purposes	purpose	NOUN
ap-2024	5	4	,	,	PUNCT
ap-2024	5	5	the	the	DET
ap-2024	5	6	closed	closed	ADJ
ap-2024	5	7	-	-	PUNCT
ap-2024	5	8	loop	loop	NOUN
ap-2024	5	9	control	control	NOUN
ap-2024	5	10	ventilation	ventilation	NOUN
ap-2024	5	11	system	system	NOUN
ap-2024	5	12	was	be	AUX
ap-2024	5	13	successfully	successfully	ADV
ap-2024	5	14	tested	test	VERB
ap-2024	5	15	in	in	ADP
ap-2024	5	16	a	a	DET
ap-2024	5	17	human	human	ADJ
ap-2024	5	18	volunteer	volunteer	NOUN
ap-2024	5	19	.	.	PUNCT
ap-2024	6	1	the	the	DET
ap-2024	6	2	experimental	experimental	ADJ
ap-2024	6	3	results	result	NOUN
ap-2024	6	4	indicate	indicate	VERB
ap-2024	6	5	that	that	SCONJ
ap-2024	6	6	the	the	DET
ap-2024	6	7	blood	blood	NOUN
ap-2024	6	8	co2	co2	NOUN
ap-2024	6	9	level	level	NOUN
ap-2024	6	10	may	may	AUX
ap-2024	6	11	indeed	indeed	ADV
ap-2024	6	12	be	be	AUX
ap-2024	6	13	controlled	control	VERB
ap-2024	6	14	noninvasively	noninvasively	ADV
ap-2024	6	15	by	by	ADP
ap-2024	6	16	measuring	measure	VERB
ap-2024	6	17	end	end	NOUN
ap-2024	6	18	-	-	PUNCT
ap-2024	6	19	tidal	tidal	ADJ
ap-2024	6	20	co2	co2	NOUN
ap-2024	6	21	from	from	ADP
ap-2024	6	22	expired	expire	VERB
ap-2024	6	23	air	air	NOUN
ap-2024	6	24	.	.	PUNCT
ap-2024	7	1	keeping	keep	VERB
ap-2024	7	2	the	the	DET
ap-2024	7	3	limited	limit	VERB
ap-2024	7	4	amount	amount	NOUN
ap-2024	7	5	of	of	ADP
ap-2024	7	6	experimental	experimental	ADJ
ap-2024	7	7	data	datum	NOUN
ap-2024	7	8	in	in	ADP
ap-2024	7	9	mind	mind	NOUN
ap-2024	7	10	,	,	PUNCT
ap-2024	7	11	we	we	PRON
ap-2024	7	12	conclude	conclude	VERB
ap-2024	7	13	that	that	SCONJ
ap-2024	7	14	h∞	h∞	PROPN
ap-2024	7	15	loop	loop	NOUN
ap-2024	7	16	-	-	PUNCT
ap-2024	7	17	shaping	shaping	NOUN
ap-2024	7	18	may	may	AUX
ap-2024	7	19	be	be	AUX
ap-2024	7	20	a	a	DET
ap-2024	7	21	promising	promising	ADJ
ap-2024	7	22	technique	technique	NOUN
ap-2024	7	23	for	for	ADP
ap-2024	7	24	control	control	NOUN
ap-2024	7	25	of	of	ADP
ap-2024	7	26	mechanical	mechanical	ADJ
ap-2024	7	27	ventilation	ventilation	NOUN
ap-2024	7	28	in	in	ADP
ap-2024	7	29	patients	patient	NOUN
ap-2024	7	30	with	with	ADP
ap-2024	7	31	respiratory	respiratory	ADJ
ap-2024	7	32	insufficiency	insufficiency	NOUN
ap-2024	7	33	.	.	PUNCT
ap-2024	8	1	keywords	keyword	NOUN
ap-2024	8	2	:	:	PUNCT
ap-2024	8	3	closed	closed	ADJ
ap-2024	8	4	-	-	PUNCT
ap-2024	8	5	loop	loop	NOUN
ap-2024	8	6	ventilation	ventilation	NOUN
ap-2024	8	7	,	,	PUNCT
ap-2024	8	8	embedded	embed	VERB
ap-2024	8	9	system	system	NOUN
ap-2024	8	10	,	,	PUNCT
ap-2024	8	11	system	system	NOUN
ap-2024	8	12	identification	identification	NOUN
ap-2024	8	13	,	,	PUNCT
ap-2024	8	14	h∞	h∞	PROPN
ap-2024	8	15	loop	loop	NOUN
ap-2024	8	16	-	-	PUNCT
ap-2024	8	17	shaping	shape	VERB
ap-2024	8	18	control	control	NOUN
ap-2024	8	19	design	design	NOUN
ap-2024	8	20	,	,	PUNCT
ap-2024	8	21	biomedical	biomedical	ADJ
ap-2024	8	22	application	application	NOUN
ap-2024	8	23	,	,	PUNCT
ap-2024	8	24	control	control	NOUN
ap-2024	8	25	of	of	ADP
ap-2024	8	26	etco2	etco2	PROPN
ap-2024	8	27	.	.	PROPN
ap-2024	9	1	1	1	X
ap-2024	9	2	.	.	X
ap-2024	9	3	introduction	introduction	NOUN
ap-2024	9	4	in	in	ADP
ap-2024	9	5	an	an	DET
ap-2024	9	6	intensive	intensive	ADJ
ap-2024	9	7	care	care	NOUN
ap-2024	9	8	unit	unit	NOUN
ap-2024	9	9	,	,	PUNCT
ap-2024	9	10	patients	patient	NOUN
ap-2024	9	11	with	with	ADP
ap-2024	9	12	respiratory	respiratory	ADJ
ap-2024	9	13	insufficiency	insufficiency	NOUN
ap-2024	9	14	due	due	ADP
ap-2024	9	15	to	to	ADP
ap-2024	9	16	lung	lung	NOUN
ap-2024	9	17	diseases	disease	NOUN
ap-2024	9	18	,	,	PUNCT
ap-2024	9	19	injury	injury	NOUN
ap-2024	9	20	or	or	CCONJ
ap-2024	9	21	undergoing	undergo	VERB
ap-2024	9	22	a	a	DET
ap-2024	9	23	surgical	surgical	ADJ
ap-2024	9	24	procedure	procedure	NOUN
ap-2024	9	25	,	,	PUNCT
ap-2024	9	26	may	may	AUX
ap-2024	9	27	require	require	VERB
ap-2024	9	28	support	support	NOUN
ap-2024	9	29	from	from	ADP
ap-2024	9	30	a	a	DET
ap-2024	9	31	mechanical	mechanical	ADJ
ap-2024	9	32	ventilator	ventilator	NOUN
ap-2024	9	33	to	to	PART
ap-2024	9	34	maintain	maintain	VERB
ap-2024	9	35	appropriate	appropriate	ADJ
ap-2024	9	36	gas	gas	NOUN
ap-2024	9	37	exchange	exchange	NOUN
ap-2024	9	38	:	:	PUNCT
ap-2024	9	39	oxygenation	oxygenation	NOUN
ap-2024	9	40	and	and	CCONJ
ap-2024	9	41	carbon	carbon	NOUN
ap-2024	9	42	dioxide	dioxide	NOUN
ap-2024	9	43	(	(	PUNCT
ap-2024	9	44	co2	co2	NOUN
ap-2024	9	45	)	)	PUNCT
ap-2024	9	46	elimination	elimination	NOUN
ap-2024	9	47	from	from	ADP
ap-2024	9	48	blood	blood	NOUN
ap-2024	9	49	circulation	circulation	NOUN
ap-2024	9	50	[	[	X
ap-2024	9	51	1	1	NUM
ap-2024	9	52	]	]	PUNCT
ap-2024	9	53	.	.	PUNCT
ap-2024	10	1	concerning	concern	VERB
ap-2024	10	2	co2	co2	NOUN
ap-2024	10	3	exchange	exchange	NOUN
ap-2024	10	4	,	,	PUNCT
ap-2024	10	5	if	if	SCONJ
ap-2024	10	6	an	an	DET
ap-2024	10	7	abnormal	abnormal	ADJ
ap-2024	10	8	value	value	NOUN
ap-2024	10	9	of	of	ADP
ap-2024	10	10	co2	co2	NOUN
ap-2024	10	11	pressure	pressure	NOUN
ap-2024	10	12	in	in	ADP
ap-2024	10	13	arterial	arterial	ADJ
ap-2024	10	14	blood	blood	NOUN
ap-2024	10	15	(	(	PUNCT
ap-2024	10	16	paco2	paco2	NOUN
ap-2024	10	17	)	)	PUNCT
ap-2024	10	18	persists	persist	VERB
ap-2024	10	19	for	for	ADP
ap-2024	10	20	a	a	DET
ap-2024	10	21	long	long	ADJ
ap-2024	10	22	period	period	NOUN
ap-2024	10	23	of	of	ADP
ap-2024	10	24	time	time	NOUN
ap-2024	10	25	,	,	PUNCT
ap-2024	10	26	this	this	PRON
ap-2024	10	27	can	can	AUX
ap-2024	10	28	cause	cause	VERB
ap-2024	10	29	an	an	DET
ap-2024	10	30	imbalance	imbalance	NOUN
ap-2024	10	31	of	of	ADP
ap-2024	10	32	the	the	DET
ap-2024	10	33	ph	ph	NOUN
ap-2024	10	34	value	value	NOUN
ap-2024	10	35	,	,	PUNCT
ap-2024	10	36	which	which	PRON
ap-2024	10	37	may	may	AUX
ap-2024	10	38	be	be	AUX
ap-2024	10	39	life	life	NOUN
ap-2024	10	40	threatening	threaten	VERB
ap-2024	10	41	.	.	PUNCT
ap-2024	11	1	therefore	therefore	ADV
ap-2024	11	2	,	,	PUNCT
ap-2024	11	3	it	it	PRON
ap-2024	11	4	is	be	AUX
ap-2024	11	5	essential	essential	ADJ
ap-2024	11	6	to	to	PART
ap-2024	11	7	regulate	regulate	VERB
ap-2024	11	8	paco2	paco2	NOUN
ap-2024	11	9	during	during	ADP
ap-2024	11	10	ventilation	ventilation	NOUN
ap-2024	11	11	therapy	therapy	NOUN
ap-2024	11	12	in	in	ADP
ap-2024	11	13	order	order	NOUN
ap-2024	11	14	to	to	PART
ap-2024	11	15	avoid	avoid	VERB
ap-2024	11	16	both	both	PRON
ap-2024	11	17	hypercapnia	hypercapnia	NOUN
ap-2024	11	18	and	and	CCONJ
ap-2024	11	19	hypocapnia	hypocapnia	NOUN
ap-2024	11	20	.	.	PUNCT
ap-2024	12	1	assuming	assume	VERB
ap-2024	12	2	good	good	ADJ
ap-2024	12	3	diffusion	diffusion	NOUN
ap-2024	12	4	conditions	condition	NOUN
ap-2024	12	5	(	(	PUNCT
ap-2024	12	6	as	as	ADP
ap-2024	12	7	in	in	ADP
ap-2024	12	8	a	a	DET
ap-2024	12	9	healthy	healthy	ADJ
ap-2024	12	10	lung	lung	NOUN
ap-2024	12	11	)	)	PUNCT
ap-2024	12	12	,	,	PUNCT
ap-2024	12	13	paco2	paco2	PROPN
ap-2024	12	14	can	can	AUX
ap-2024	12	15	be	be	AUX
ap-2024	12	16	approximated	approximate	VERB
ap-2024	12	17	by	by	ADP
ap-2024	12	18	end	end	NOUN
ap-2024	12	19	-	-	PUNCT
ap-2024	12	20	tidal	tidal	ADJ
ap-2024	12	21	co2	co2	NOUN
ap-2024	12	22	(	(	PUNCT
ap-2024	12	23	etco2	etco2	ADJ
ap-2024	12	24	)	)	PUNCT
ap-2024	12	25	or	or	CCONJ
ap-2024	12	26	co2	co2	VERB
ap-2024	12	27	partial	partial	ADJ
ap-2024	12	28	pressure	pressure	NOUN
ap-2024	12	29	at	at	ADP
ap-2024	12	30	end	end	NOUN
ap-2024	12	31	of	of	ADP
ap-2024	12	32	expiration	expiration	NOUN
ap-2024	12	33	,	,	PUNCT
ap-2024	12	34	which	which	PRON
ap-2024	12	35	can	can	AUX
ap-2024	12	36	be	be	AUX
ap-2024	12	37	noninvasively	noninvasively	ADV
ap-2024	12	38	measured	measure	VERB
ap-2024	12	39	from	from	ADP
ap-2024	12	40	the	the	DET
ap-2024	12	41	exhaled	exhale	VERB
ap-2024	12	42	air	air	NOUN
ap-2024	12	43	.	.	PUNCT
ap-2024	13	1	currently	currently	ADV
ap-2024	13	2	,	,	PUNCT
ap-2024	13	3	no	no	DET
ap-2024	13	4	accurate	accurate	ADJ
ap-2024	13	5	mathematical	mathematical	ADJ
ap-2024	13	6	model	model	NOUN
ap-2024	13	7	of	of	ADP
ap-2024	13	8	the	the	DET
ap-2024	13	9	cardiopulmonary	cardiopulmonary	ADJ
ap-2024	13	10	system	system	NOUN
ap-2024	13	11	is	be	AUX
ap-2024	13	12	available	available	ADJ
ap-2024	13	13	that	that	PRON
ap-2024	13	14	allows	allow	VERB
ap-2024	13	15	to	to	PART
ap-2024	13	16	estimate	estimate	VERB
ap-2024	13	17	etco2	etco2	ADJ
ap-2024	13	18	.	.	PUNCT
ap-2024	14	1	therefore	therefore	ADV
ap-2024	14	2	,	,	PUNCT
ap-2024	14	3	in	in	ADP
ap-2024	14	4	this	this	DET
ap-2024	14	5	work	work	NOUN
ap-2024	14	6	,	,	PUNCT
ap-2024	14	7	we	we	PRON
ap-2024	14	8	propose	propose	VERB
ap-2024	14	9	to	to	PART
ap-2024	14	10	define	define	VERB
ap-2024	14	11	a	a	DET
ap-2024	14	12	model	model	NOUN
ap-2024	14	13	structure	structure	NOUN
ap-2024	14	14	and	and	CCONJ
ap-2024	14	15	to	to	PART
ap-2024	14	16	parametrize	parametrize	VERB
ap-2024	14	17	this	this	DET
ap-2024	14	18	model	model	NOUN
ap-2024	14	19	using	use	VERB
ap-2024	14	20	system	system	NOUN
ap-2024	14	21	identification	identification	NOUN
ap-2024	14	22	[	[	X
ap-2024	14	23	2	2	NUM
ap-2024	14	24	]	]	PUNCT
ap-2024	14	25	.	.	PUNCT
ap-2024	15	1	to	to	ADP
ap-2024	15	2	this	this	DET
ap-2024	15	3	end	end	NOUN
ap-2024	15	4	,	,	PUNCT
ap-2024	15	5	we	we	PRON
ap-2024	15	6	have	have	AUX
ap-2024	15	7	simplified	simplify	VERB
ap-2024	15	8	the	the	DET
ap-2024	15	9	problem	problem	NOUN
ap-2024	15	10	and	and	CCONJ
ap-2024	15	11	assumed	assume	VERB
ap-2024	15	12	a	a	DET
ap-2024	15	13	single	single	ADJ
ap-2024	15	14	-	-	PUNCT
ap-2024	15	15	input	input	NOUN
ap-2024	15	16	single	single	ADJ
ap-2024	15	17	-	-	PUNCT
ap-2024	15	18	output	output	NOUN
ap-2024	15	19	(	(	PUNCT
ap-2024	15	20	siso	siso	NOUN
ap-2024	15	21	)	)	PUNCT
ap-2024	15	22	system	system	NOUN
ap-2024	15	23	.	.	PUNCT
ap-2024	16	1	minute	minute	ADJ
ap-2024	16	2	ventilation	ventilation	NOUN
ap-2024	16	3	(	(	PUNCT
ap-2024	16	4	mv	mv	INTJ
ap-2024	16	5	;	;	PUNCT
ap-2024	16	6	in	in	ADP
ap-2024	16	7	l	l	PROPN
ap-2024	16	8	/	/	SYM
ap-2024	16	9	min	min	NOUN
ap-2024	16	10	)	)	PUNCT
ap-2024	16	11	was	be	AUX
ap-2024	16	12	used	use	VERB
ap-2024	16	13	to	to	PART
ap-2024	16	14	control	control	VERB
ap-2024	16	15	the	the	DET
ap-2024	16	16	value	value	NOUN
ap-2024	16	17	of	of	ADP
ap-2024	16	18	etco2	etco2	ADJ
ap-2024	17	1	[	[	X
ap-2024	17	2	3–7	3–7	NOUN
ap-2024	17	3	]	]	PUNCT
ap-2024	17	4	.	.	PUNCT
ap-2024	18	1	to	to	PART
ap-2024	18	2	identify	identify	VERB
ap-2024	18	3	the	the	DET
ap-2024	18	4	parameters	parameter	NOUN
ap-2024	18	5	of	of	ADP
ap-2024	18	6	a	a	DET
ap-2024	18	7	hammerstein	hammerstein	PROPN
ap-2024	18	8	model	model	NOUN
ap-2024	18	9	,	,	PUNCT
ap-2024	18	10	our	our	PRON
ap-2024	18	11	results	result	NOUN
ap-2024	18	12	from	from	ADP
ap-2024	18	13	a	a	DET
ap-2024	18	14	grey	grey	PROPN
ap-2024	18	15	box	box	NOUN
ap-2024	18	16	identification	identification	NOUN
ap-2024	18	17	are	be	AUX
ap-2024	18	18	presented	present	VERB
ap-2024	18	19	.	.	PUNCT
ap-2024	19	1	for	for	ADP
ap-2024	19	2	this	this	PRON
ap-2024	19	3	,	,	PUNCT
ap-2024	19	4	we	we	PRON
ap-2024	19	5	assumed	assume	VERB
ap-2024	19	6	a	a	DET
ap-2024	19	7	nonlinear	nonlinear	ADJ
ap-2024	19	8	steady	steady	ADJ
ap-2024	19	9	-	-	PUNCT
ap-2024	19	10	state	state	NOUN
ap-2024	19	11	(	(	PUNCT
ap-2024	19	12	or	or	CCONJ
ap-2024	19	13	static	static	ADJ
ap-2024	19	14	)	)	PUNCT
ap-2024	19	15	characteristic	characteristic	NOUN
ap-2024	19	16	of	of	ADP
ap-2024	19	17	the	the	DET
ap-2024	19	18	controlled	control	VERB
ap-2024	19	19	plant	plant	NOUN
ap-2024	19	20	(	(	PUNCT
ap-2024	19	21	the	the	DET
ap-2024	19	22	patient	patient	NOUN
ap-2024	19	23	)	)	PUNCT
ap-2024	19	24	with	with	ADP
ap-2024	19	25	,	,	PUNCT
ap-2024	19	26	in	in	ADP
ap-2024	19	27	addition	addition	NOUN
ap-2024	19	28	,	,	PUNCT
ap-2024	19	29	some	some	DET
ap-2024	19	30	linear	linear	ADJ
ap-2024	19	31	time	time	NOUN
ap-2024	19	32	dynamics	dynamic	NOUN
ap-2024	19	33	.	.	PUNCT
ap-2024	20	1	note	note	VERB
ap-2024	20	2	that	that	SCONJ
ap-2024	20	3	the	the	DET
ap-2024	20	4	nonlinear	nonlinear	PROPN
ap-2024	20	5	hammerstein	hammerstein	PROPN
ap-2024	20	6	model	model	NOUN
ap-2024	20	7	is	be	AUX
ap-2024	20	8	composed	compose	VERB
ap-2024	20	9	of	of	ADP
ap-2024	20	10	a	a	DET
ap-2024	20	11	serial	serial	ADJ
ap-2024	20	12	interconnection	interconnection	NOUN
ap-2024	20	13	between	between	ADP
ap-2024	20	14	a	a	DET
ap-2024	20	15	linear	linear	ADJ
ap-2024	20	16	time	time	NOUN
ap-2024	20	17	-	-	PUNCT
ap-2024	20	18	invariant	invariant	ADJ
ap-2024	20	19	system	system	NOUN
ap-2024	20	20	and	and	CCONJ
ap-2024	20	21	a	a	DET
ap-2024	20	22	static	static	ADJ
ap-2024	20	23	nonlinearity	nonlinearity	NOUN
ap-2024	20	24	;	;	PUNCT
ap-2024	20	25	this	this	PRON
ap-2024	20	26	is	be	AUX
ap-2024	20	27	also	also	ADV
ap-2024	20	28	classified	classify	VERB
ap-2024	20	29	as	as	ADP
ap-2024	20	30	a	a	DET
ap-2024	20	31	block	block	NOUN
ap-2024	20	32	-	-	PUNCT
ap-2024	20	33	oriented	orient	VERB
ap-2024	20	34	structure	structure	NOUN
ap-2024	20	35	[	[	X
ap-2024	20	36	8	8	NUM
ap-2024	20	37	,	,	PUNCT
ap-2024	20	38	9	9	NUM
ap-2024	20	39	]	]	PUNCT
ap-2024	20	40	.	.	PUNCT
ap-2024	21	1	the	the	DET
ap-2024	21	2	advantage	advantage	NOUN
ap-2024	21	3	of	of	ADP
ap-2024	21	4	the	the	DET
ap-2024	21	5	block	block	NOUN
ap-2024	21	6	-	-	PUNCT
ap-2024	21	7	oriented	orient	VERB
ap-2024	21	8	structure	structure	NOUN
ap-2024	21	9	is	be	AUX
ap-2024	21	10	that	that	SCONJ
ap-2024	21	11	it	it	PRON
ap-2024	21	12	is	be	AUX
ap-2024	21	13	able	able	ADJ
ap-2024	21	14	to	to	PART
ap-2024	21	15	represent	represent	VERB
ap-2024	21	16	input	input	NOUN
ap-2024	21	17	and	and	CCONJ
ap-2024	21	18	output	output	NOUN
ap-2024	21	19	multiplicities	multiplicity	NOUN
ap-2024	21	20	;	;	PUNCT
ap-2024	21	21	this	this	PRON
ap-2024	21	22	makes	make	VERB
ap-2024	21	23	it	it	PRON
ap-2024	21	24	well	well	ADV
ap-2024	21	25	suited	suited	ADJ
ap-2024	21	26	for	for	ADP
ap-2024	21	27	application	application	NOUN
ap-2024	21	28	on	on	ADP
ap-2024	21	29	a	a	DET
ap-2024	21	30	cardiopulmonary	cardiopulmonary	ADJ
ap-2024	21	31	system	system	NOUN
ap-2024	21	32	,	,	PUNCT
ap-2024	21	33	due	due	ADP
ap-2024	21	34	to	to	ADP
ap-2024	21	35	its	its	PRON
ap-2024	21	36	similar	similar	ADJ
ap-2024	21	37	behavior	behavior	NOUN
ap-2024	21	38	of	of	ADP
ap-2024	21	39	input	input	NOUN
ap-2024	21	40	and	and	CCONJ
ap-2024	21	41	output	output	NOUN
ap-2024	21	42	multiplicities	multiplicitie	VERB
ap-2024	22	1	[	[	X
ap-2024	22	2	10	10	NUM
ap-2024	22	3	]	]	PUNCT
ap-2024	22	4	.	.	PUNCT
ap-2024	23	1	in	in	ADP
ap-2024	23	2	addition	addition	NOUN
ap-2024	23	3	,	,	PUNCT
ap-2024	23	4	a	a	DET
ap-2024	23	5	linear	linear	ADJ
ap-2024	23	6	affine	affine	NOUN
ap-2024	23	7	model	model	NOUN
ap-2024	23	8	was	be	AUX
ap-2024	23	9	identified	identify	VERB
ap-2024	23	10	in	in	ADP
ap-2024	23	11	order	order	NOUN
ap-2024	23	12	to	to	PART
ap-2024	23	13	compare	compare	VERB
ap-2024	23	14	this	this	PRON
ap-2024	23	15	with	with	ADP
ap-2024	23	16	the	the	DET
ap-2024	23	17	nonlinear	nonlinear	PROPN
ap-2024	23	18	hammerstein	hammerstein	PROPN
ap-2024	23	19	modeling	modeling	PROPN
ap-2024	23	20	results	result	NOUN
ap-2024	23	21	.	.	PUNCT
ap-2024	24	1	after	after	ADP
ap-2024	24	2	model	model	NOUN
ap-2024	24	3	validation	validation	NOUN
ap-2024	24	4	,	,	PUNCT
ap-2024	24	5	a	a	DET
ap-2024	24	6	robust	robust	ADJ
ap-2024	24	7	controller	controller	NOUN
ap-2024	24	8	was	be	AUX
ap-2024	24	9	designed	design	VERB
ap-2024	24	10	by	by	ADP
ap-2024	24	11	an	an	DET
ap-2024	24	12	h∞	h∞	PROPN
ap-2024	24	13	loop	loop	NOUN
ap-2024	24	14	-	-	PUNCT
ap-2024	24	15	shaping	shape	VERB
ap-2024	24	16	approach	approach	NOUN
ap-2024	24	17	[	[	X
ap-2024	24	18	11	11	NUM
ap-2024	24	19	,	,	PUNCT
ap-2024	24	20	12	12	NUM
ap-2024	24	21	]	]	PUNCT
ap-2024	24	22	.	.	PUNCT
ap-2024	25	1	note	note	VERB
ap-2024	25	2	that	that	SCONJ
ap-2024	25	3	this	this	DET
ap-2024	25	4	method	method	NOUN
ap-2024	25	5	guarantees	guarantee	VERB
ap-2024	25	6	closed	closed	ADJ
ap-2024	25	7	-	-	PUNCT
ap-2024	25	8	loop	loop	NOUN
ap-2024	25	9	stability	stability	NOUN
ap-2024	25	10	whilst	whilst	SCONJ
ap-2024	25	11	offering	offer	VERB
ap-2024	25	12	performance	performance	NOUN
ap-2024	25	13	and	and	CCONJ
ap-2024	25	14	robustness	robustness	NOUN
ap-2024	25	15	trade	trade	NOUN
ap-2024	25	16	-	-	PUNCT
ap-2024	25	17	offs	off	NOUN
ap-2024	25	18	[	[	X
ap-2024	25	19	13	13	NUM
ap-2024	25	20	]	]	PUNCT
ap-2024	25	21	.	.	PUNCT
ap-2024	26	1	our	our	PRON
ap-2024	26	2	goal	goal	NOUN
ap-2024	26	3	for	for	ADP
ap-2024	26	4	the	the	DET
ap-2024	26	5	h∞	h∞	PROPN
ap-2024	26	6	loop	loop	NOUN
ap-2024	26	7	-	-	PUNCT
ap-2024	26	8	shaping	shaping	NOUN
ap-2024	26	9	approach	approach	NOUN
ap-2024	26	10	was	be	AUX
ap-2024	26	11	to	to	PART
ap-2024	26	12	tune	tune	VERB
ap-2024	26	13	the	the	DET
ap-2024	26	14	singular	singular	ADJ
ap-2024	26	15	value	value	NOUN
ap-2024	26	16	of	of	ADP
ap-2024	26	17	the	the	DET
ap-2024	26	18	open	open	ADJ
ap-2024	26	19	-	-	PUNCT
ap-2024	26	20	loop	loop	NOUN
ap-2024	26	21	gain	gain	NOUN
ap-2024	26	22	or	or	CCONJ
ap-2024	26	23	the	the	DET
ap-2024	26	24	open	open	ADJ
ap-2024	26	25	-	-	PUNCT
ap-2024	26	26	loop	loop	NOUN
ap-2024	26	27	transfer	transfer	NOUN
ap-2024	26	28	function	function	NOUN
ap-2024	26	29	gain	gain	NOUN
ap-2024	26	30	,	,	PUNCT
ap-2024	26	31	to	to	PART
ap-2024	26	32	increase	increase	VERB
ap-2024	26	33	the	the	DET
ap-2024	26	34	bandwidth	bandwidth	NOUN
ap-2024	26	35	of	of	ADP
ap-2024	26	36	the	the	DET
ap-2024	26	37	system	system	NOUN
ap-2024	26	38	and	and	CCONJ
ap-2024	26	39	to	to	PART
ap-2024	26	40	eliminate	eliminate	VERB
ap-2024	26	41	steady	steady	ADJ
ap-2024	26	42	-	-	PUNCT
ap-2024	26	43	state	state	NOUN
ap-2024	26	44	errors	error	NOUN
ap-2024	26	45	.	.	PUNCT
ap-2024	27	1	the	the	DET
ap-2024	27	2	advantage	advantage	NOUN
ap-2024	27	3	of	of	ADP
ap-2024	27	4	this	this	DET
ap-2024	27	5	method	method	NOUN
ap-2024	27	6	is	be	AUX
ap-2024	27	7	to	to	PART
ap-2024	27	8	add	add	VERB
ap-2024	27	9	performance	performance	NOUN
ap-2024	27	10	possibilities	possibility	NOUN
ap-2024	27	11	while	while	SCONJ
ap-2024	27	12	obtaining	obtain	VERB
ap-2024	27	13	an	an	DET
ap-2024	27	14	exact	exact	ADJ
ap-2024	27	15	solution	solution	NOUN
ap-2024	27	16	in	in	ADP
ap-2024	27	17	the	the	DET
ap-2024	27	18	h∞	h∞	PRON
ap-2024	27	19	optimal	optimal	ADJ
ap-2024	27	20	sense	sense	NOUN
ap-2024	27	21	.	.	PUNCT
ap-2024	28	1	for	for	ADP
ap-2024	28	2	this	this	DET
ap-2024	28	3	design	design	NOUN
ap-2024	28	4	method	method	NOUN
ap-2024	28	5	,	,	PUNCT
ap-2024	28	6	we	we	PRON
ap-2024	28	7	present	present	VERB
ap-2024	28	8	simulation	simulation	NOUN
ap-2024	28	9	results	result	VERB
ap-2024	28	10	when	when	SCONJ
ap-2024	28	11	evaluating	evaluate	VERB
ap-2024	28	12	the	the	DET
ap-2024	28	13	control	control	NOUN
ap-2024	28	14	performance	performance	NOUN
ap-2024	28	15	based	base	VERB
ap-2024	28	16	on	on	ADP
ap-2024	28	17	various	various	ADJ
ap-2024	28	18	conditions	condition	NOUN
ap-2024	28	19	of	of	ADP
ap-2024	28	20	model	model	NOUN
ap-2024	28	21	uncertainty	uncertainty	NOUN
ap-2024	28	22	.	.	PUNCT
ap-2024	29	1	finally	finally	ADV
ap-2024	29	2	,	,	PUNCT
ap-2024	29	3	a	a	DET
ap-2024	29	4	patient	patient	NOUN
ap-2024	29	5	-	-	PUNCT
ap-2024	29	6	in	in	ADP
ap-2024	29	7	-	-	PUNCT
ap-2024	29	8	the	the	DET
ap-2024	29	9	-	-	PUNCT
ap-2024	29	10	loop	loop	NOUN
ap-2024	29	11	ventilation	ventilation	NOUN
ap-2024	29	12	system	system	NOUN
ap-2024	29	13	was	be	AUX
ap-2024	29	14	connected	connect	VERB
ap-2024	29	15	to	to	ADP
ap-2024	29	16	a	a	DET
ap-2024	29	17	human	human	ADJ
ap-2024	29	18	volunteer	volunteer	NOUN
ap-2024	29	19	(	(	PUNCT
ap-2024	29	20	first	first	ADJ
ap-2024	29	21	author	author	NOUN
ap-2024	29	22	)	)	PUNCT
ap-2024	29	23	to	to	PART
ap-2024	29	24	test	test	VERB
ap-2024	29	25	the	the	DET
ap-2024	29	26	etco2	etco2	PROPN
ap-2024	29	27	control	control	NOUN
ap-2024	29	28	algorithm	algorithm	NOUN
ap-2024	29	29	in	in	ADP
ap-2024	29	30	vivo	vivo	NOUN
ap-2024	29	31	.	.	PUNCT
ap-2024	30	1	the	the	DET
ap-2024	30	2	remainder	remainder	NOUN
ap-2024	30	3	of	of	ADP
ap-2024	30	4	this	this	DET
ap-2024	30	5	article	article	NOUN
ap-2024	30	6	is	be	AUX
ap-2024	30	7	organized	organize	VERB
ap-2024	30	8	as	as	SCONJ
ap-2024	30	9	follows	follow	VERB
ap-2024	30	10	.	.	PUNCT
ap-2024	31	1	895	895	NUM
ap-2024	31	2	http://dx.doi.org/10.14311/ap.2013.53.0895	http://dx.doi.org/10.14311/ap.2013.53.0895	NOUN
ap-2024	31	3	http://ojs.cvut.cz/ojs/index.php/ap	http://ojs.cvut.cz/ojs/index.php/ap	PROPN
ap-2024	31	4	anake	anake	NOUN
ap-2024	31	5	pomprapa	pomprapa	NOUN
ap-2024	31	6	,	,	PUNCT
ap-2024	31	7	berno	berno	ADJ
ap-2024	31	8	misgeld	misgeld	PROPN
ap-2024	31	9	et	et	PROPN
ap-2024	31	10	al	al	PROPN
ap-2024	31	11	.	.	PROPN
ap-2024	32	1	acta	acta	PROPN
ap-2024	32	2	polytechnica	polytechnica	PROPN
ap-2024	32	3	metabolism	metabolism	NOUN
ap-2024	32	4	patient	patient	ADJ
ap-2024	32	5	mechanical	mechanical	ADJ
ap-2024	32	6	ventilator	ventilator	NOUN
ap-2024	32	7	sensor	sensor	NOUN
ap-2024	32	8	(	(	PUNCT
ap-2024	32	9	co	co	NOUN
ap-2024	32	10	smo+)2	smo+)2	ADJ
ap-2024	32	11	•	•	NUM
ap-2024	32	12	fio2	fio2	PROPN
ap-2024	32	13	•	•	NUM
ap-2024	32	14	pip	pip	NOUN
ap-2024	32	15	•	•	ADJ
ap-2024	32	16	peep	peep	NOUN
ap-2024	32	17	•	•	NUM
ap-2024	32	18	rr	rr	VERB
ap-2024	32	19	•	•	INTJ
ap-2024	32	20	i	i	PRON
ap-2024	32	21	:	:	PUNCT
ap-2024	32	22	e	e	X
ap-2024	32	23	ratio	ratio	NOUN
ap-2024	32	24	ph•	ph•	CCONJ
ap-2024	32	25	etco2	etco2	ADJ
ap-2024	32	26	pulse	pulse	NOUN
ap-2024	32	27	oximeter	oximeter	NOUN
ap-2024	32	28	gas	gas	NOUN
ap-2024	32	29	analyser	analyser	NOUN
ap-2024	32	30	dspace	dspace	NOUN
ap-2024	32	31	control	control	PROPN
ap-2024	32	32	unit	unit	PROPN
ap-2024	32	33	c	c	PROPN
ap-2024	32	34	a	a	PRON
ap-2024	32	35	n	n	PROPN
ap-2024	32	36	b	b	X
ap-2024	32	37	u	u	NOUN
ap-2024	32	38	s	s	PROPN
ap-2024	32	39	r	r	NOUN
ap-2024	32	40	s	s	NOUN
ap-2024	32	41	2	2	NUM
ap-2024	32	42	3	3	NUM
ap-2024	32	43	2	2	NUM
ap-2024	32	44	•	•	NOUN
ap-2024	32	45	spo2	spo2	PROPN
ap-2024	32	46	medical	medical	ADJ
ap-2024	32	47	panel	panel	NOUN
ap-2024	32	48	pc	pc	NOUN
ap-2024	32	49	•	•	NUM
ap-2024	32	50	fio2	fio2	PROPN
ap-2024	32	51	•	•	INTJ
ap-2024	33	1	mv	mv	INTJ
ap-2024	33	2	µc	µc	INTJ
ap-2024	33	3	µc	µc	INTJ
ap-2024	33	4	figure	figure	NOUN
ap-2024	33	5	1	1	NUM
ap-2024	33	6	.	.	PUNCT
ap-2024	33	7	configuration	configuration	NOUN
ap-2024	33	8	of	of	ADP
ap-2024	33	9	the	the	DET
ap-2024	33	10	system	system	NOUN
ap-2024	33	11	for	for	ADP
ap-2024	33	12	closed	closed	ADJ
ap-2024	33	13	-	-	PUNCT
ap-2024	33	14	loop	loop	NOUN
ap-2024	33	15	ventilation	ventilation	NOUN
ap-2024	33	16	.	.	PUNCT
ap-2024	34	1	section	section	NOUN
ap-2024	34	2	2	2	NUM
ap-2024	34	3	describes	describe	VERB
ap-2024	34	4	a	a	DET
ap-2024	34	5	unified	unified	ADJ
ap-2024	34	6	approach	approach	NOUN
ap-2024	34	7	for	for	ADP
ap-2024	34	8	system	system	NOUN
ap-2024	34	9	identification	identification	NOUN
ap-2024	34	10	including	include	VERB
ap-2024	34	11	a	a	DET
ap-2024	34	12	physiological	physiological	ADJ
ap-2024	34	13	description	description	NOUN
ap-2024	34	14	;	;	PUNCT
ap-2024	34	15	here	here	ADV
ap-2024	34	16	,	,	PUNCT
ap-2024	34	17	all	all	DET
ap-2024	34	18	the	the	DET
ap-2024	34	19	models	model	NOUN
ap-2024	34	20	are	be	AUX
ap-2024	34	21	parametrized	parametrized	ADJ
ap-2024	34	22	and	and	CCONJ
ap-2024	34	23	validated	validated	ADJ
ap-2024	34	24	.	.	PUNCT
ap-2024	35	1	section	section	NOUN
ap-2024	35	2	3	3	NUM
ap-2024	35	3	presents	present	VERB
ap-2024	35	4	the	the	DET
ap-2024	35	5	robust	robust	ADJ
ap-2024	35	6	control	control	NOUN
ap-2024	35	7	design	design	NOUN
ap-2024	35	8	based	base	VERB
ap-2024	35	9	on	on	ADP
ap-2024	35	10	the	the	DET
ap-2024	35	11	h∞	h∞	PROPN
ap-2024	35	12	loop	loop	NOUN
ap-2024	35	13	-	-	PUNCT
ap-2024	35	14	shaping	shaping	NOUN
ap-2024	35	15	technique	technique	NOUN
ap-2024	35	16	and	and	CCONJ
ap-2024	35	17	the	the	DET
ap-2024	35	18	simulation	simulation	NOUN
ap-2024	35	19	results	result	NOUN
ap-2024	35	20	of	of	ADP
ap-2024	35	21	the	the	DET
ap-2024	35	22	controller	controller	NOUN
ap-2024	35	23	under	under	ADP
ap-2024	35	24	various	various	ADJ
ap-2024	35	25	conditions	condition	NOUN
ap-2024	35	26	of	of	ADP
ap-2024	35	27	model	model	NOUN
ap-2024	35	28	uncertainty	uncertainty	NOUN
ap-2024	35	29	.	.	PUNCT
ap-2024	36	1	section	section	NOUN
ap-2024	36	2	4	4	NUM
ap-2024	36	3	presents	present	VERB
ap-2024	36	4	a	a	DET
ap-2024	36	5	discussion	discussion	NOUN
ap-2024	36	6	of	of	ADP
ap-2024	36	7	this	this	DET
ap-2024	36	8	work	work	NOUN
ap-2024	36	9	and	and	CCONJ
ap-2024	36	10	the	the	DET
ap-2024	36	11	conclusions	conclusion	NOUN
ap-2024	36	12	are	be	AUX
ap-2024	36	13	presented	present	VERB
ap-2024	36	14	in	in	ADP
ap-2024	36	15	section	section	NOUN
ap-2024	36	16	5	5	NUM
ap-2024	36	17	.	.	SYM
ap-2024	37	1	2	2	NUM
ap-2024	37	2	.	.	X
ap-2024	37	3	system	system	NOUN
ap-2024	37	4	modeling	model	VERB
ap-2024	37	5	2.1	2.1	NUM
ap-2024	37	6	.	.	PUNCT
ap-2024	38	1	system	system	NOUN
ap-2024	38	2	configuration	configuration	NOUN
ap-2024	38	3	the	the	DET
ap-2024	38	4	proposed	propose	VERB
ap-2024	38	5	closed	close	VERB
ap-2024	38	6	-	-	PUNCT
ap-2024	38	7	loop	loop	NOUN
ap-2024	38	8	system	system	NOUN
ap-2024	38	9	is	be	AUX
ap-2024	38	10	composed	compose	VERB
ap-2024	38	11	of	of	ADP
ap-2024	38	12	a	a	DET
ap-2024	38	13	medical	medical	ADJ
ap-2024	38	14	panel	panel	NOUN
ap-2024	38	15	pc	pc	NOUN
ap-2024	38	16	for	for	ADP
ap-2024	38	17	process	process	NOUN
ap-2024	38	18	monitoring	monitoring	NOUN
ap-2024	38	19	,	,	PUNCT
ap-2024	38	20	user	user	NOUN
ap-2024	38	21	interface	interface	NOUN
ap-2024	38	22	and	and	CCONJ
ap-2024	38	23	data	datum	NOUN
ap-2024	38	24	storage	storage	NOUN
ap-2024	38	25	,	,	PUNCT
ap-2024	38	26	a	a	DET
ap-2024	38	27	mechanical	mechanical	ADJ
ap-2024	38	28	ventilator	ventilator	NOUN
ap-2024	38	29	(	(	PUNCT
ap-2024	38	30	ventilogic	ventilogic	NOUN
ap-2024	38	31	ls	ls	PROPN
ap-2024	38	32	,	,	PUNCT
ap-2024	38	33	weinmann	weinmann	PROPN
ap-2024	38	34	geräte	geräte	PROPN
ap-2024	38	35	für	für	PROPN
ap-2024	38	36	medizin	medizin	PROPN
ap-2024	38	37	gmbh	gmbh	PROPN
ap-2024	38	38	,	,	PUNCT
ap-2024	38	39	germany	germany	PROPN
ap-2024	38	40	)	)	PUNCT
ap-2024	38	41	,	,	PUNCT
ap-2024	38	42	a	a	DET
ap-2024	38	43	capnograph	capnograph	NOUN
ap-2024	38	44	(	(	PUNCT
ap-2024	38	45	co2smo+	co2smo+	NOUN
ap-2024	38	46	,	,	PUNCT
ap-2024	38	47	philips	philips	PROPN
ap-2024	38	48	gmbh	gmbh	PROPN
ap-2024	38	49	,	,	PUNCT
ap-2024	38	50	germany	germany	PROPN
ap-2024	38	51	)	)	PUNCT
ap-2024	38	52	for	for	ADP
ap-2024	38	53	etco2	etco2	ADJ
ap-2024	38	54	monitoring	monitoring	NOUN
ap-2024	38	55	,	,	PUNCT
ap-2024	38	56	a	a	DET
ap-2024	38	57	microautobox	microautobox	PROPN
ap-2024	38	58	ii	ii	PROPN
ap-2024	38	59	dspace	dspace	PROPN
ap-2024	38	60	control	control	PROPN
ap-2024	38	61	unit	unit	NOUN
ap-2024	38	62	,	,	PUNCT
ap-2024	38	63	and	and	CCONJ
ap-2024	38	64	two	two	NUM
ap-2024	38	65	arm	arm	NOUN
ap-2024	38	66	-	-	PUNCT
ap-2024	38	67	based	base	VERB
ap-2024	38	68	microcontrollers	microcontroller	NOUN
ap-2024	38	69	.	.	PUNCT
ap-2024	39	1	the	the	DET
ap-2024	39	2	system	system	NOUN
ap-2024	39	3	configuration	configuration	NOUN
ap-2024	39	4	is	be	AUX
ap-2024	39	5	presented	present	VERB
ap-2024	39	6	in	in	ADP
ap-2024	39	7	figure	figure	NOUN
ap-2024	39	8	1	1	NUM
ap-2024	39	9	.	.	PUNCT
ap-2024	40	1	the	the	DET
ap-2024	40	2	data	data	NOUN
ap-2024	40	3	communication	communication	NOUN
ap-2024	40	4	protocol	protocol	NOUN
ap-2024	40	5	was	be	AUX
ap-2024	40	6	designed	design	VERB
ap-2024	40	7	based	base	VERB
ap-2024	40	8	on	on	ADP
ap-2024	40	9	the	the	DET
ap-2024	40	10	can	can	AUX
ap-2024	40	11	(	(	PUNCT
ap-2024	40	12	controller	controller	NOUN
ap-2024	40	13	area	area	NOUN
ap-2024	40	14	network	network	NOUN
ap-2024	40	15	)	)	PUNCT
ap-2024	40	16	protocol	protocol	NOUN
ap-2024	40	17	.	.	PUNCT
ap-2024	41	1	can	can	AUX
ap-2024	41	2	-	-	PUNCT
ap-2024	41	3	bus	bus	NOUN
ap-2024	41	4	is	be	AUX
ap-2024	41	5	a	a	DET
ap-2024	41	6	serial	serial	ADJ
ap-2024	41	7	fieldbus	fieldbus	NOUN
ap-2024	41	8	,	,	PUNCT
ap-2024	41	9	which	which	PRON
ap-2024	41	10	allows	allow	VERB
ap-2024	41	11	additional	additional	ADJ
ap-2024	41	12	devices	device	NOUN
ap-2024	41	13	to	to	PART
ap-2024	41	14	be	be	AUX
ap-2024	41	15	connected	connect	VERB
ap-2024	41	16	to	to	ADP
ap-2024	41	17	the	the	DET
ap-2024	41	18	system	system	NOUN
ap-2024	41	19	architecture	architecture	NOUN
ap-2024	41	20	using	use	VERB
ap-2024	41	21	this	this	DET
ap-2024	41	22	topological	topological	ADJ
ap-2024	41	23	arrangement	arrangement	NOUN
ap-2024	41	24	.	.	PUNCT
ap-2024	42	1	a	a	DET
ap-2024	42	2	data	data	NOUN
ap-2024	42	3	transfer	transfer	NOUN
ap-2024	42	4	rate	rate	NOUN
ap-2024	42	5	of	of	ADP
ap-2024	42	6	1mbit	1mbit	NUM
ap-2024	42	7	/	/	SYM
ap-2024	42	8	s	s	PART
ap-2024	42	9	can	can	AUX
ap-2024	42	10	be	be	AUX
ap-2024	42	11	obtained	obtain	VERB
ap-2024	42	12	and	and	CCONJ
ap-2024	42	13	collision	collision	NOUN
ap-2024	42	14	avoidance	avoidance	NOUN
ap-2024	42	15	between	between	ADP
ap-2024	42	16	the	the	DET
ap-2024	42	17	messages	message	NOUN
ap-2024	42	18	can	can	AUX
ap-2024	42	19	be	be	AUX
ap-2024	42	20	achieved	achieve	VERB
ap-2024	42	21	for	for	ADP
ap-2024	42	22	all	all	DET
ap-2024	42	23	connected	connected	ADJ
ap-2024	42	24	devices	device	NOUN
ap-2024	42	25	,	,	PUNCT
ap-2024	42	26	based	base	VERB
ap-2024	42	27	on	on	ADP
ap-2024	42	28	priority	priority	NOUN
ap-2024	42	29	assignment	assignment	NOUN
ap-2024	42	30	.	.	PUNCT
ap-2024	43	1	therefore	therefore	ADV
ap-2024	43	2	,	,	PUNCT
ap-2024	43	3	the	the	DET
ap-2024	43	4	proposed	propose	VERB
ap-2024	43	5	closed	close	VERB
ap-2024	43	6	-	-	PUNCT
ap-2024	43	7	loop	loop	NOUN
ap-2024	43	8	system	system	NOUN
ap-2024	43	9	is	be	AUX
ap-2024	43	10	suitable	suitable	ADJ
ap-2024	43	11	for	for	ADP
ap-2024	43	12	real	real	ADJ
ap-2024	43	13	-	-	PUNCT
ap-2024	43	14	time	time	NOUN
ap-2024	43	15	automatic	automatic	ADJ
ap-2024	43	16	control	control	NOUN
ap-2024	43	17	of	of	ADP
ap-2024	43	18	mechanical	mechanical	ADJ
ap-2024	43	19	ventilation	ventilation	NOUN
ap-2024	43	20	.	.	PUNCT
ap-2024	44	1	2.2	2.2	NUM
ap-2024	44	2	.	.	PUNCT
ap-2024	45	1	static	static	ADJ
ap-2024	45	2	nonlinearity	nonlinearity	NOUN
ap-2024	45	3	to	to	PART
ap-2024	45	4	serve	serve	VERB
ap-2024	45	5	as	as	ADP
ap-2024	45	6	an	an	DET
ap-2024	45	7	example	example	NOUN
ap-2024	45	8	,	,	PUNCT
ap-2024	45	9	system	system	NOUN
ap-2024	45	10	identification	identification	NOUN
ap-2024	45	11	was	be	AUX
ap-2024	45	12	conducted	conduct	VERB
ap-2024	45	13	based	base	VERB
ap-2024	45	14	on	on	ADP
ap-2024	45	15	one	one	NUM
ap-2024	45	16	male	male	ADJ
ap-2024	45	17	volunteer	volunteer	NOUN
ap-2024	45	18	with	with	ADP
ap-2024	45	19	healthy	healthy	ADJ
ap-2024	45	20	homogeneous	homogeneous	ADJ
ap-2024	45	21	lungs	lung	NOUN
ap-2024	45	22	and	and	CCONJ
ap-2024	45	23	a	a	DET
ap-2024	45	24	body	body	NOUN
ap-2024	45	25	mass	mass	NOUN
ap-2024	45	26	index	index	NOUN
ap-2024	45	27	within	within	ADP
ap-2024	45	28	normal	normal	ADJ
ap-2024	45	29	range	range	NOUN
ap-2024	45	30	(	(	PUNCT
ap-2024	45	31	i.e.	i.e.	X
ap-2024	45	32	23.3	23.3	NUM
ap-2024	45	33	kg	kg	NOUN
ap-2024	45	34	/	/	SYM
ap-2024	45	35	m2	m2	PROPN
ap-2024	45	36	)	)	PUNCT
ap-2024	45	37	.	.	PUNCT
ap-2024	46	1	this	this	DET
ap-2024	46	2	person	person	NOUN
ap-2024	46	3	was	be	AUX
ap-2024	46	4	connected	connect	VERB
ap-2024	46	5	to	to	ADP
ap-2024	46	6	a	a	DET
ap-2024	46	7	mechanical	mechanical	ADJ
ap-2024	46	8	ventilator	ventilator	NOUN
ap-2024	46	9	,	,	PUNCT
ap-2024	46	10	which	which	PRON
ap-2024	46	11	was	be	AUX
ap-2024	46	12	operating	operate	VERB
ap-2024	46	13	in	in	ADP
ap-2024	46	14	pressure	pressure	NOUN
ap-2024	46	15	-	-	PUNCT
ap-2024	46	16	controlled	control	VERB
ap-2024	46	17	mode	mode	NOUN
ap-2024	46	18	.	.	PUNCT
ap-2024	47	1	all	all	DET
ap-2024	47	2	ventilation	ventilation	NOUN
ap-2024	47	3	settings	setting	NOUN
ap-2024	47	4	were	be	AUX
ap-2024	47	5	manually	manually	ADV
ap-2024	47	6	adjusted	adjust	VERB
ap-2024	47	7	to	to	PART
ap-2024	47	8	extract	extract	VERB
ap-2024	47	9	cardiopulmonary	cardiopulmonary	ADJ
ap-2024	47	10	information	information	NOUN
ap-2024	47	11	from	from	ADP
ap-2024	47	12	the	the	DET
ap-2024	47	13	subject	subject	NOUN
ap-2024	47	14	.	.	PUNCT
ap-2024	48	1	based	base	VERB
ap-2024	48	2	on	on	ADP
ap-2024	48	3	the	the	DET
ap-2024	48	4	static	static	ADJ
ap-2024	48	5	characteristics	characteristic	NOUN
ap-2024	48	6	of	of	ADP
ap-2024	48	7	the	the	DET
ap-2024	48	8	patient	patient	NOUN
ap-2024	48	9	,	,	PUNCT
ap-2024	48	10	etco2	etco2	ADJ
ap-2024	48	11	is	be	AUX
ap-2024	48	12	a	a	DET
ap-2024	48	13	nonlinear	nonlinear	ADJ
ap-2024	48	14	function	function	NOUN
ap-2024	48	15	of	of	ADP
ap-2024	48	16	mv	mv	PROPN
ap-2024	48	17	[	[	X
ap-2024	48	18	4	4	NUM
ap-2024	48	19	]	]	PUNCT
ap-2024	48	20	.	.	PUNCT
ap-2024	49	1	its	its	PRON
ap-2024	49	2	static	static	ADJ
ap-2024	49	3	8	8	NUM
ap-2024	49	4	10	10	NUM
ap-2024	49	5	12	12	NUM
ap-2024	49	6	14	14	NUM
ap-2024	49	7	16	16	NUM
ap-2024	49	8	18	18	NUM
ap-2024	49	9	20	20	NUM
ap-2024	49	10	22	22	NUM
ap-2024	49	11	24	24	NUM
ap-2024	49	12	20	20	NUM
ap-2024	49	13	25	25	NUM
ap-2024	49	14	30	30	NUM
ap-2024	49	15	35	35	NUM
ap-2024	49	16	mv	mv	PROPN
ap-2024	49	17	[	[	X
ap-2024	49	18	l	l	X
ap-2024	49	19	/	/	SYM
ap-2024	49	20	min	min	NOUN
ap-2024	49	21	]	]	X
ap-2024	49	22	e	e	X
ap-2024	49	23	tc	tc	NOUN
ap-2024	49	24	o	o	NOUN
ap-2024	49	25	2	2	NUM
ap-2024	49	26	[	[	X
ap-2024	49	27	m	m	VERB
ap-2024	49	28	m	m	VERB
ap-2024	49	29	h	h	ADJ
ap-2024	49	30	g	g	NOUN
ap-2024	49	31	]	]	PUNCT
ap-2024	49	32	measured	measure	VERB
ap-2024	49	33	data	datum	NOUN
ap-2024	49	34	from	from	ADP
ap-2024	49	35	a	a	DET
ap-2024	49	36	human	human	ADJ
ap-2024	49	37	subject	subject	NOUN
ap-2024	49	38	estimated	estimate	VERB
ap-2024	49	39	curve	curve	NOUN
ap-2024	49	40	of	of	ADP
ap-2024	49	41	the	the	DET
ap-2024	49	42	relationship	relationship	NOUN
ap-2024	49	43	figure	figure	NOUN
ap-2024	49	44	2	2	NUM
ap-2024	49	45	.	.	PUNCT
ap-2024	49	46	static	static	ADJ
ap-2024	49	47	nonlinearity	nonlinearity	NOUN
ap-2024	49	48	between	between	ADP
ap-2024	49	49	etco2	etco2	PROPN
ap-2024	49	50	and	and	CCONJ
ap-2024	49	51	mv	mv	PROPN
ap-2024	49	52	.	.	PUNCT
ap-2024	50	1	nonlinearity	nonlinearity	NOUN
ap-2024	50	2	is	be	AUX
ap-2024	50	3	the	the	DET
ap-2024	50	4	so	so	ADV
ap-2024	50	5	-	-	PUNCT
ap-2024	50	6	called	call	VERB
ap-2024	50	7	“	"	PUNCT
ap-2024	50	8	metabolic	metabolic	NOUN
ap-2024	50	9	hyperbola	hyperbola	PROPN
ap-2024	50	10	”	"	PUNCT
ap-2024	50	11	(	(	PUNCT
ap-2024	50	12	figure	figure	NOUN
ap-2024	50	13	2	2	NUM
ap-2024	50	14	)	)	PUNCT
ap-2024	50	15	.	.	PUNCT
ap-2024	51	1	by	by	ADP
ap-2024	51	2	extracting	extract	VERB
ap-2024	51	3	co2	co2	NOUN
ap-2024	51	4	information	information	NOUN
ap-2024	51	5	,	,	PUNCT
ap-2024	51	6	mv	mv	PROPN
ap-2024	51	7	input	input	NOUN
ap-2024	51	8	was	be	AUX
ap-2024	51	9	increased	increase	VERB
ap-2024	51	10	stepwise	stepwise	NOUN
ap-2024	51	11	from	from	ADP
ap-2024	51	12	10l	10l	NOUN
ap-2024	51	13	/	/	SYM
ap-2024	51	14	min	min	NOUN
ap-2024	51	15	to	to	ADP
ap-2024	51	16	25l	25l	NUM
ap-2024	51	17	/	/	SYM
ap-2024	51	18	min	min	NOUN
ap-2024	51	19	,	,	PUNCT
ap-2024	51	20	and	and	CCONJ
ap-2024	51	21	etco2	etco2	NOUN
ap-2024	51	22	was	be	AUX
ap-2024	51	23	measured	measure	VERB
ap-2024	51	24	at	at	ADP
ap-2024	51	25	steady	steady	ADJ
ap-2024	51	26	state	state	NOUN
ap-2024	51	27	.	.	PUNCT
ap-2024	52	1	we	we	PRON
ap-2024	52	2	could	could	AUX
ap-2024	52	3	indeed	indeed	ADV
ap-2024	52	4	confirm	confirm	VERB
ap-2024	52	5	that	that	SCONJ
ap-2024	52	6	etco2	etco2	PROPN
ap-2024	52	7	is	be	AUX
ap-2024	52	8	a	a	DET
ap-2024	52	9	decreasing	decrease	VERB
ap-2024	52	10	function	function	NOUN
ap-2024	52	11	in	in	ADP
ap-2024	52	12	terms	term	NOUN
ap-2024	52	13	of	of	ADP
ap-2024	52	14	mv	mv	PROPN
ap-2024	52	15	input	input	NOUN
ap-2024	52	16	at	at	ADP
ap-2024	52	17	steady	steady	ADJ
ap-2024	52	18	state	state	NOUN
ap-2024	52	19	.	.	PUNCT
ap-2024	53	1	hence	hence	ADV
ap-2024	53	2	,	,	PUNCT
ap-2024	53	3	the	the	PRON
ap-2024	53	4	more	more	ADV
ap-2024	53	5	mv	mv	PROPN
ap-2024	53	6	applied	apply	VERB
ap-2024	53	7	to	to	ADP
ap-2024	53	8	the	the	DET
ap-2024	53	9	lungs	lung	NOUN
ap-2024	53	10	,	,	PUNCT
ap-2024	53	11	the	the	PRON
ap-2024	53	12	less	less	ADV
ap-2024	53	13	etco2	etco2	ADJ
ap-2024	53	14	can	can	AUX
ap-2024	53	15	be	be	AUX
ap-2024	53	16	measured	measure	VERB
ap-2024	53	17	from	from	ADP
ap-2024	53	18	the	the	DET
ap-2024	53	19	subject	subject	NOUN
ap-2024	53	20	.	.	PUNCT
ap-2024	54	1	this	this	DET
ap-2024	54	2	relationship	relationship	NOUN
ap-2024	54	3	is	be	AUX
ap-2024	54	4	important	important	ADJ
ap-2024	54	5	and	and	CCONJ
ap-2024	54	6	can	can	AUX
ap-2024	54	7	be	be	AUX
ap-2024	54	8	employed	employ	VERB
ap-2024	54	9	for	for	ADP
ap-2024	54	10	controlling	control	VERB
ap-2024	54	11	etco2	etco2	PROPN
ap-2024	54	12	with	with	ADP
ap-2024	54	13	mv	mv	PROPN
ap-2024	54	14	input	input	NOUN
ap-2024	54	15	.	.	PUNCT
ap-2024	55	1	a	a	DET
ap-2024	55	2	mathematical	mathematical	ADJ
ap-2024	55	3	description	description	NOUN
ap-2024	55	4	of	of	ADP
ap-2024	55	5	the	the	DET
ap-2024	55	6	nonlinearity	nonlinearity	NOUN
ap-2024	55	7	may	may	AUX
ap-2024	55	8	approximate	approximate	VERB
ap-2024	55	9	the	the	DET
ap-2024	55	10	nonlinearity	nonlinearity	NOUN
ap-2024	55	11	as	as	ADP
ap-2024	55	12	a	a	DET
ap-2024	55	13	parabolic	parabolic	ADJ
ap-2024	55	14	equation	equation	NOUN
ap-2024	55	15	as	as	SCONJ
ap-2024	55	16	provided	provide	VERB
ap-2024	55	17	in	in	ADP
ap-2024	55	18	(	(	PUNCT
ap-2024	55	19	1	1	NUM
ap-2024	55	20	)	)	PUNCT
ap-2024	55	21	.	.	PUNCT
ap-2024	56	1	etco2	etco2	ADJ
ap-2024	57	1	=	=	SYM
ap-2024	57	2	n	n	PROPN
ap-2024	58	1	[	[	X
ap-2024	58	2	mv	mv	X
ap-2024	58	3	]	]	X
ap-2024	58	4	=	=	PUNCT
ap-2024	58	5	a	a	PRON
ap-2024	58	6	·	·	PUNCT
ap-2024	58	7	mv	mv	PROPN
ap-2024	58	8	2	2	NUM
ap-2024	58	9	+	+	SYM
ap-2024	58	10	b	b	X
ap-2024	58	11	·	·	PUNCT
ap-2024	58	12	mv	mv	PROPN
ap-2024	59	1	+	+	X
ap-2024	59	2	c	c	X
ap-2024	59	3	(	(	PUNCT
ap-2024	59	4	1	1	NUM
ap-2024	59	5	)	)	PUNCT
ap-2024	59	6	where	where	SCONJ
ap-2024	59	7	n	n	X
ap-2024	59	8	[	[	X
ap-2024	59	9	mv	mv	X
ap-2024	59	10	]	]	AUX
ap-2024	59	11	denotes	denote	VERB
ap-2024	59	12	a	a	DET
ap-2024	59	13	nonlinear	nonlinear	ADJ
ap-2024	59	14	function	function	NOUN
ap-2024	59	15	of	of	ADP
ap-2024	59	16	mv	mv	PROPN
ap-2024	59	17	.	.	PUNCT
ap-2024	60	1	in	in	ADP
ap-2024	60	2	this	this	DET
ap-2024	60	3	particular	particular	ADJ
ap-2024	60	4	example	example	NOUN
ap-2024	60	5	,	,	PUNCT
ap-2024	60	6	a	a	DET
ap-2024	60	7	=	=	NOUN
ap-2024	60	8	0.05	0.05	NUM
ap-2024	60	9	,	,	PUNCT
ap-2024	60	10	b	b	NOUN
ap-2024	60	11	=	=	SYM
ap-2024	60	12	−2.55	−2.55	PROPN
ap-2024	60	13	and	and	CCONJ
ap-2024	60	14	c	c	NOUN
ap-2024	60	15	=	=	SYM
ap-2024	60	16	52.80	52.80	NUM
ap-2024	60	17	are	be	AUX
ap-2024	60	18	the	the	DET
ap-2024	60	19	best	good	ADJ
ap-2024	60	20	parameters	parameter	NOUN
ap-2024	60	21	according	accord	VERB
ap-2024	60	22	to	to	ADP
ap-2024	60	23	a	a	DET
ap-2024	60	24	least	least	ADJ
ap-2024	60	25	-	-	PUNCT
ap-2024	60	26	squares	square	NOUN
ap-2024	60	27	fit	fit	ADJ
ap-2024	60	28	.	.	PUNCT
ap-2024	61	1	2.3	2.3	NUM
ap-2024	61	2	.	.	PUNCT
ap-2024	62	1	linear	linear	PROPN
ap-2024	62	2	affine	affine	PROPN
ap-2024	62	3	model	model	NOUN
ap-2024	62	4	as	as	ADP
ap-2024	62	5	an	an	DET
ap-2024	62	6	initial	initial	ADJ
ap-2024	62	7	estimation	estimation	NOUN
ap-2024	62	8	,	,	PUNCT
ap-2024	62	9	a	a	DET
ap-2024	62	10	simple	simple	ADJ
ap-2024	62	11	dynamic	dynamic	ADJ
ap-2024	62	12	model	model	NOUN
ap-2024	62	13	can	can	AUX
ap-2024	62	14	be	be	AUX
ap-2024	62	15	applied	apply	VERB
ap-2024	62	16	to	to	ADP
ap-2024	62	17	complex	complex	ADJ
ap-2024	62	18	input	input	NOUN
ap-2024	62	19	-	-	PUNCT
ap-2024	62	20	output	output	NOUN
ap-2024	62	21	relationship	relationship	NOUN
ap-2024	62	22	of	of	ADP
ap-2024	62	23	the	the	DET
ap-2024	62	24	system	system	NOUN
ap-2024	62	25	in	in	ADP
ap-2024	62	26	order	order	NOUN
ap-2024	62	27	to	to	PART
ap-2024	62	28	evaluate	evaluate	VERB
ap-2024	62	29	to	to	ADP
ap-2024	62	30	what	what	DET
ap-2024	62	31	extent	extent	NOUN
ap-2024	62	32	such	such	DET
ap-2024	62	33	a	a	DET
ap-2024	62	34	simple	simple	ADJ
ap-2024	62	35	model	model	NOUN
ap-2024	62	36	can	can	AUX
ap-2024	62	37	represent	represent	VERB
ap-2024	62	38	the	the	DET
ap-2024	62	39	real	real	ADJ
ap-2024	62	40	system	system	NOUN
ap-2024	62	41	(	(	PUNCT
ap-2024	62	42	figure	figure	NOUN
ap-2024	62	43	3	3	NUM
ap-2024	62	44	)	)	PUNCT
ap-2024	62	45	.	.	PUNCT
ap-2024	63	1	such	such	DET
ap-2024	63	2	an	an	DET
ap-2024	63	3	affine	affine	NOUN
ap-2024	63	4	model	model	NOUN
ap-2024	63	5	is	be	AUX
ap-2024	63	6	formulated	formulate	VERB
ap-2024	63	7	by	by	ADP
ap-2024	63	8	a	a	DET
ap-2024	63	9	linear	linear	ADJ
ap-2024	63	10	combination	combination	NOUN
ap-2024	63	11	form	form	NOUN
ap-2024	63	12	of	of	ADP
ap-2024	63	13	primitive	primitive	ADJ
ap-2024	63	14	variables	variable	NOUN
ap-2024	63	15	,	,	PUNCT
ap-2024	63	16	provided	provide	VERB
ap-2024	63	17	in	in	ADP
ap-2024	63	18	(	(	PUNCT
ap-2024	63	19	2	2	NUM
ap-2024	63	20	):	):	PUNCT
ap-2024	63	21	y(k	y(k	PROPN
ap-2024	63	22	)	)	PUNCT
ap-2024	64	1	=	=	SYM
ap-2024	64	2	yo	yo	PROPN
ap-2024	64	3	+	+	NUM
ap-2024	64	4	p∑	p∑	X
ap-2024	64	5	i=1	i=1	PROPN
ap-2024	64	6	a(i	a(i	PROPN
ap-2024	64	7	)	)	PUNCT
ap-2024	64	8	·	·	PUNCT
ap-2024	65	1	y(k−	y(k−	PROPN
ap-2024	65	2	i	i	PROPN
ap-2024	65	3	)	)	PUNCT
ap-2024	66	1	+	+	CCONJ
ap-2024	66	2	q∑	q∑	X
ap-2024	66	3	j=1	j=1	PROPN
ap-2024	66	4	b(j	b(j	PROPN
ap-2024	66	5	)	)	PUNCT
ap-2024	66	6	·	·	PUNCT
ap-2024	66	7	u(k−	u(k−	PROPN
ap-2024	66	8	j	j	PROPN
ap-2024	66	9	)	)	PUNCT
ap-2024	66	10	(	(	PUNCT
ap-2024	66	11	2	2	X
ap-2024	66	12	)	)	PUNCT
ap-2024	66	13	where	where	SCONJ
ap-2024	66	14	y(k	y(k	NOUN
ap-2024	66	15	)	)	PUNCT
ap-2024	66	16	represents	represent	VERB
ap-2024	66	17	etco2	etco2	NOUN
ap-2024	66	18	at	at	ADP
ap-2024	66	19	the	the	DET
ap-2024	66	20	sampling	sampling	NOUN
ap-2024	66	21	point	point	NOUN
ap-2024	66	22	k	k	PROPN
ap-2024	66	23	,	,	PUNCT
ap-2024	66	24	and	and	CCONJ
ap-2024	66	25	u(k	u(k	PROPN
ap-2024	66	26	)	)	PUNCT
ap-2024	66	27	denotes	denote	VERB
ap-2024	66	28	the	the	DET
ap-2024	66	29	input	input	NOUN
ap-2024	66	30	∆p	∆p	PROPN
ap-2024	66	31	at	at	ADP
ap-2024	66	32	the	the	DET
ap-2024	66	33	sampling	sampling	NOUN
ap-2024	66	34	k.	k.	NOUN
ap-2024	67	1	the	the	DET
ap-2024	67	2	sampling	sampling	NOUN
ap-2024	67	3	time	time	NOUN
ap-2024	67	4	for	for	ADP
ap-2024	67	5	this	this	DET
ap-2024	67	6	study	study	NOUN
ap-2024	67	7	was	be	AUX
ap-2024	67	8	4.28	4.28	NUM
ap-2024	67	9	s.	s.	PROPN
ap-2024	67	10	also	also	ADV
ap-2024	67	11	,	,	PUNCT
ap-2024	67	12	p	p	NOUN
ap-2024	67	13	and	and	CCONJ
ap-2024	67	14	q	q	NOUN
ap-2024	67	15	are	be	AUX
ap-2024	67	16	finite	finite	ADJ
ap-2024	67	17	order	order	NOUN
ap-2024	67	18	parameters	parameter	NOUN
ap-2024	67	19	with	with	ADP
ap-2024	67	20	p	p	PROPN
ap-2024	67	21	≥	≥	NOUN
ap-2024	67	22	q	q	NOUN
ap-2024	68	1	and	and	CCONJ
ap-2024	68	2	yo	yo	PROPN
ap-2024	68	3	representing	represent	VERB
ap-2024	68	4	a	a	DET
ap-2024	68	5	constant	constant	ADJ
ap-2024	68	6	so	so	ADV
ap-2024	68	7	called	call	VERB
ap-2024	68	8	offset	offset	NOUN
ap-2024	68	9	.	.	PUNCT
ap-2024	69	1	the	the	DET
ap-2024	69	2	unknown	unknown	ADJ
ap-2024	69	3	parameters	parameter	NOUN
ap-2024	69	4	(	(	PUNCT
ap-2024	69	5	yo	yo	NOUN
ap-2024	69	6	,	,	PUNCT
ap-2024	69	7	a(i	a(i	PROPN
ap-2024	69	8	)	)	PUNCT
ap-2024	69	9	and	and	CCONJ
ap-2024	69	10	b(j	b(j	NUM
ap-2024	69	11	)	)	PUNCT
ap-2024	69	12	)	)	PUNCT
ap-2024	69	13	can	can	AUX
ap-2024	69	14	be	be	AUX
ap-2024	69	15	estimated	estimate	VERB
ap-2024	69	16	by	by	ADP
ap-2024	69	17	using	use	VERB
ap-2024	69	18	a	a	DET
ap-2024	69	19	least	least	ADJ
ap-2024	69	20	-	-	PUNCT
ap-2024	69	21	squares	square	NOUN
ap-2024	69	22	algorithm	algorithm	NOUN
ap-2024	69	23	based	base	VERB
ap-2024	69	24	on	on	ADP
ap-2024	69	25	the	the	DET
ap-2024	69	26	input	input	NOUN
ap-2024	69	27	and	and	CCONJ
ap-2024	69	28	output	output	NOUN
ap-2024	69	29	measurements	measurement	NOUN
ap-2024	69	30	.	.	PUNCT
ap-2024	70	1	the	the	DET
ap-2024	70	2	following	follow	VERB
ap-2024	70	3	algorithm	algorithm	NOUN
ap-2024	70	4	is	be	AUX
ap-2024	70	5	used	use	VERB
ap-2024	70	6	to	to	PART
ap-2024	70	7	estimate	estimate	VERB
ap-2024	70	8	the	the	DET
ap-2024	70	9	unknown	unknown	ADJ
ap-2024	70	10	parameters	parameter	NOUN
ap-2024	70	11	.	.	PUNCT
ap-2024	71	1	according	accord	VERB
ap-2024	71	2	to	to	ADP
ap-2024	71	3	the	the	DET
ap-2024	71	4	experimental	experimental	ADJ
ap-2024	71	5	data	datum	NOUN
ap-2024	71	6	and	and	CCONJ
ap-2024	71	7	the	the	DET
ap-2024	71	8	model	model	NOUN
ap-2024	71	9	structure	structure	NOUN
ap-2024	71	10	from	from	ADP
ap-2024	71	11	(	(	PUNCT
ap-2024	71	12	2	2	NUM
ap-2024	71	13	)	)	PUNCT
ap-2024	71	14	for	for	ADP
ap-2024	71	15	the	the	DET
ap-2024	71	16	linear	linear	ADJ
ap-2024	71	17	affine	affine	PROPN
ap-2024	71	18	model	model	PROPN
ap-2024	71	19	,	,	PUNCT
ap-2024	71	20	it	it	PRON
ap-2024	71	21	can	can	AUX
ap-2024	71	22	896	896	NUM
ap-2024	71	23	vol	vol	NOUN
ap-2024	71	24	.	.	PUNCT
ap-2024	72	1	53	53	NUM
ap-2024	72	2	no	no	NOUN
ap-2024	72	3	.	.	PUNCT
ap-2024	73	1	6/2013	6/2013	NUM
ap-2024	73	2	robust	robust	ADJ
ap-2024	73	3	control	control	NOUN
ap-2024	73	4	of	of	ADP
ap-2024	73	5	end	end	NOUN
ap-2024	73	6	-	-	PUNCT
ap-2024	73	7	tidal	tidal	ADJ
ap-2024	73	8	co2	co2	NOUN
ap-2024	73	9	15	15	NUM
ap-2024	73	10	20	20	NUM
ap-2024	73	11	25	25	NUM
ap-2024	73	12	30	30	NUM
ap-2024	73	13	35	35	NUM
ap-2024	73	14	40	40	NUM
ap-2024	73	15	e	e	NOUN
ap-2024	73	16	tc	tc	NOUN
ap-2024	73	17	o	o	NOUN
ap-2024	73	18	2	2	NUM
ap-2024	74	1	[	[	X
ap-2024	74	2	m	m	VERB
ap-2024	74	3	m	m	VERB
ap-2024	74	4	h	h	NOUN
ap-2024	74	5	g	g	NOUN
ap-2024	74	6	]	]	PUNCT
ap-2024	74	7	measured	measure	VERB
ap-2024	74	8	etco	etco	PROPN
ap-2024	74	9	2	2	NUM
ap-2024	74	10	1st	1st	NOUN
ap-2024	74	11	order	order	NOUN
ap-2024	74	12	model	model	NOUN
ap-2024	74	13	2nd	2nd	ADJ
ap-2024	74	14	order	order	NOUN
ap-2024	74	15	model	model	NOUN
ap-2024	74	16	2nd	2nd	ADJ
ap-2024	74	17	order	order	NOUN
ap-2024	74	18	model	model	NOUN
ap-2024	74	19	with	with	ADP
ap-2024	74	20	zero	zero	NUM
ap-2024	74	21	1st	1st	ADJ
ap-2024	74	22	order	order	NOUN
ap-2024	74	23	hammerstein	hammerstein	PROPN
ap-2024	74	24	model	model	PROPN
ap-2024	74	25	0	0	NUM
ap-2024	74	26	100	100	NUM
ap-2024	74	27	200	200	NUM
ap-2024	74	28	300	300	NUM
ap-2024	74	29	400	400	NUM
ap-2024	74	30	500	500	NUM
ap-2024	74	31	600	600	NUM
ap-2024	74	32	700	700	NUM
ap-2024	74	33	800	800	NUM
ap-2024	74	34	900	900	NUM
ap-2024	74	35	1000	1000	NUM
ap-2024	74	36	0	0	NUM
ap-2024	74	37	5	5	NUM
ap-2024	74	38	10	10	NUM
ap-2024	74	39	time	time	NOUN
ap-2024	75	1	[	[	X
ap-2024	75	2	s	s	X
ap-2024	75	3	]	]	X
ap-2024	75	4	d	d	X
ap-2024	75	5	p	p	X
ap-2024	76	1	[	[	X
ap-2024	76	2	h	h	X
ap-2024	76	3	p	p	NOUN
ap-2024	76	4	a	a	DET
ap-2024	76	5	]	]	PUNCT
ap-2024	76	6	figure	figure	NOUN
ap-2024	76	7	3	3	NUM
ap-2024	76	8	.	.	PUNCT
ap-2024	76	9	input	input	NOUN
ap-2024	76	10	-	-	PUNCT
ap-2024	76	11	output	output	NOUN
ap-2024	76	12	relationship	relationship	NOUN
ap-2024	76	13	used	use	VERB
ap-2024	76	14	for	for	ADP
ap-2024	76	15	system	system	NOUN
ap-2024	76	16	identification	identification	NOUN
ap-2024	76	17	with	with	ADP
ap-2024	76	18	the	the	DET
ap-2024	76	19	results	result	NOUN
ap-2024	76	20	of	of	ADP
ap-2024	76	21	model	model	NOUN
ap-2024	76	22	identification	identification	NOUN
ap-2024	76	23	.	.	PUNCT
ap-2024	77	1	be	be	AUX
ap-2024	77	2	expressed	express	VERB
ap-2024	77	3	in	in	ADP
ap-2024	77	4	terms	term	NOUN
ap-2024	77	5	of	of	ADP
ap-2024	77	6	a	a	DET
ap-2024	77	7	vector	vector	NOUN
ap-2024	77	8	and	and	CCONJ
ap-2024	77	9	matrices	matrix	NOUN
ap-2024	77	10	,	,	PUNCT
ap-2024	77	11	as	as	ADP
ap-2024	77	12	in	in	ADP
ap-2024	77	13	(	(	PUNCT
ap-2024	77	14	3	3	NUM
ap-2024	77	15	):	):	PUNCT
ap-2024	77	16	y	y	PROPN
ap-2024	77	17	=	=	PUNCT
ap-2024	77	18	x	x	PUNCT
ap-2024	77	19	·	·	PUNCT
ap-2024	77	20	β	β	X
ap-2024	77	21	+	+	CCONJ
ap-2024	77	22	ε	ε	PROPN
ap-2024	77	23	,	,	PUNCT
ap-2024	77	24	(	(	PUNCT
ap-2024	77	25	3	3	X
ap-2024	77	26	)	)	PUNCT
ap-2024	77	27	where	where	SCONJ
ap-2024	77	28	y	y	NOUN
ap-2024	77	29	=	=	PUNCT
ap-2024	77	30	[	[	PUNCT
ap-2024	77	31	y(ko	y(ko	PROPN
ap-2024	77	32	+	+	PROPN
ap-2024	77	33	1	1	NUM
ap-2024	77	34	)	)	PUNCT
ap-2024	77	35	y(ko	y(ko	NOUN
ap-2024	77	36	+	+	NOUN
ap-2024	77	37	2	2	NUM
ap-2024	77	38	)	)	PUNCT
ap-2024	77	39	·	·	PUNCT
ap-2024	77	40	·	·	PUNCT
ap-2024	77	41	·	·	PUNCT
ap-2024	78	1	y(m	y(m	X
ap-2024	78	2	)	)	PUNCT
ap-2024	78	3	]	]	X
ap-2024	78	4	t	t	X
ap-2024	78	5	,	,	PUNCT
ap-2024	78	6	xt	xt	X
ap-2024	78	7	=	=	PUNCT
ap-2024	78	8			NOUN
ap-2024	78	9	1	1	NUM
ap-2024	78	10	1	1	NUM
ap-2024	78	11	·	·	PUNCT
ap-2024	78	12	·	·	PUNCT
ap-2024	78	13	·	·	PUNCT
ap-2024	78	14	1	1	NUM
ap-2024	78	15	y(ko	y(ko	NOUN
ap-2024	78	16	)	)	PUNCT
ap-2024	78	17	y(ko	y(ko	PROPN
ap-2024	79	1	+	+	PROPN
ap-2024	79	2	1	1	NUM
ap-2024	79	3	)	)	PUNCT
ap-2024	79	4	·	·	PUNCT
ap-2024	79	5	·	·	PUNCT
ap-2024	79	6	·	·	PUNCT
ap-2024	80	1	y(m	y(m	INTJ
ap-2024	80	2	−	−	NOUN
ap-2024	80	3	1	1	NUM
ap-2024	80	4	)	)	PUNCT
ap-2024	80	5	...	...	PUNCT
ap-2024	80	6	...	...	PUNCT
ap-2024	80	7	...	...	PUNCT
ap-2024	81	1	y(ko	y(ko	NOUN
ap-2024	81	2	−	−	PROPN
ap-2024	81	3	p	p	X
ap-2024	81	4	)	)	PUNCT
ap-2024	81	5	y(ko	y(ko	PROPN
ap-2024	81	6	+	+	PROPN
ap-2024	81	7	1−	1−	NUM
ap-2024	81	8	p	p	NOUN
ap-2024	81	9	)	)	PUNCT
ap-2024	81	10	·	·	PUNCT
ap-2024	81	11	·	·	PUNCT
ap-2024	81	12	·	·	PUNCT
ap-2024	82	1	y(m	y(m	INTJ
ap-2024	82	2	−	−	NOUN
ap-2024	82	3	1−	1−	NUM
ap-2024	82	4	p	p	NOUN
ap-2024	82	5	)	)	PUNCT
ap-2024	82	6	u(ko	u(ko	PROPN
ap-2024	82	7	)	)	PUNCT
ap-2024	82	8	u(ko	u(ko	PROPN
ap-2024	82	9	+	+	CCONJ
ap-2024	82	10	1	1	NUM
ap-2024	82	11	)	)	PUNCT
ap-2024	82	12	·	·	PUNCT
ap-2024	82	13	·	·	PUNCT
ap-2024	82	14	·	·	PUNCT
ap-2024	83	1	u(m	u(m	ADJ
ap-2024	83	2	−	−	NOUN
ap-2024	83	3	1	1	NUM
ap-2024	83	4	)	)	PUNCT
ap-2024	83	5	...	...	PUNCT
ap-2024	83	6	...	...	PUNCT
ap-2024	83	7	...	...	PUNCT
ap-2024	84	1	u(ko	u(ko	NUM
ap-2024	84	2	−	−	NOUN
ap-2024	84	3	q	q	X
ap-2024	84	4	)	)	PUNCT
ap-2024	84	5	u(ko	u(ko	PROPN
ap-2024	84	6	+	+	CCONJ
ap-2024	84	7	1−	1−	NUM
ap-2024	84	8	q	q	NOUN
ap-2024	84	9	)	)	PUNCT
ap-2024	84	10	·	·	PUNCT
ap-2024	84	11	·	·	PUNCT
ap-2024	84	12	·	·	PUNCT
ap-2024	85	1	u(m	u(m	ADJ
ap-2024	85	2	−	−	PROPN
ap-2024	85	3	1−	1−	NUM
ap-2024	85	4	q	q	NOUN
ap-2024	85	5	)	)	PUNCT
ap-2024	85	6			NOUN
ap-2024	85	7	,	,	PUNCT
ap-2024	85	8	β	β	X
ap-2024	85	9	=	=	PUNCT
ap-2024	86	1	[	[	PUNCT
ap-2024	86	2	yo	yo	NOUN
ap-2024	86	3	a1	a1	NOUN
ap-2024	86	4	·	·	PUNCT
ap-2024	86	5	·	·	PUNCT
ap-2024	86	6	·	·	PUNCT
ap-2024	86	7	ap	ap	PROPN
ap-2024	86	8	b1	b1	PROPN
ap-2024	86	9	·	·	PUNCT
ap-2024	86	10	·	·	PUNCT
ap-2024	86	11	·	·	PUNCT
ap-2024	86	12	bp	bp	PROPN
ap-2024	87	1	]	]	PUNCT
ap-2024	87	2	t	t	PROPN
ap-2024	87	3	for	for	ADP
ap-2024	87	4	ko	ko	PROPN
ap-2024	87	5	≥	≥	PROPN
ap-2024	87	6	p	p	NOUN
ap-2024	87	7	and	and	CCONJ
ap-2024	87	8	ko	ko	PROPN
ap-2024	87	9	≥	≥	PROPN
ap-2024	87	10	q	q	PROPN
ap-2024	87	11	and	and	CCONJ
ap-2024	87	12	ε	ε	PROPN
ap-2024	87	13	is	be	AUX
ap-2024	87	14	an	an	DET
ap-2024	87	15	unknown	unknown	ADJ
ap-2024	87	16	disturbance	disturbance	NOUN
ap-2024	87	17	vector	vector	NOUN
ap-2024	87	18	.	.	PUNCT
ap-2024	88	1	the	the	DET
ap-2024	88	2	vector	vector	PROPN
ap-2024	88	3	β	β	X
ap-2024	88	4	or	or	CCONJ
ap-2024	88	5	the	the	DET
ap-2024	88	6	unknown	unknown	ADJ
ap-2024	88	7	parameters	parameter	NOUN
ap-2024	88	8	can	can	AUX
ap-2024	88	9	then	then	ADV
ap-2024	88	10	be	be	AUX
ap-2024	88	11	estimated	estimate	VERB
ap-2024	88	12	using	use	VERB
ap-2024	88	13	the	the	DET
ap-2024	88	14	ordinary	ordinary	ADJ
ap-2024	88	15	least	least	ADJ
ap-2024	88	16	-	-	PUNCT
ap-2024	88	17	squares	square	NOUN
ap-2024	88	18	algorithm	algorithm	NOUN
ap-2024	88	19	that	that	PRON
ap-2024	88	20	minimizes	minimize	VERB
ap-2024	88	21	the	the	DET
ap-2024	88	22	sum	sum	NOUN
ap-2024	88	23	of	of	ADP
ap-2024	88	24	squared	square	VERB
ap-2024	88	25	errors	error	NOUN
ap-2024	88	26	provided	provide	VERB
ap-2024	88	27	in	in	ADP
ap-2024	88	28	(	(	PUNCT
ap-2024	88	29	4	4	NUM
ap-2024	88	30	)	)	PUNCT
ap-2024	88	31	[	[	X
ap-2024	88	32	2	2	NUM
ap-2024	88	33	]	]	PUNCT
ap-2024	88	34	:	:	PUNCT
ap-2024	88	35	β	β	X
ap-2024	88	36	=	=	SYM
ap-2024	88	37	(	(	PUNCT
ap-2024	88	38	xt	xt	X
ap-2024	88	39	·	·	PUNCT
ap-2024	88	40	x)−1	x)−1	X
ap-2024	88	41	·	·	SYM
ap-2024	88	42	xt	xt	X
ap-2024	88	43	·	·	PUNCT
ap-2024	88	44	y.	y.	NOUN
ap-2024	88	45	(	(	PUNCT
ap-2024	88	46	4	4	NUM
ap-2024	88	47	)	)	PUNCT
ap-2024	88	48	in	in	ADP
ap-2024	88	49	order	order	NOUN
ap-2024	88	50	to	to	PART
ap-2024	88	51	relax	relax	VERB
ap-2024	88	52	the	the	DET
ap-2024	88	53	muscles	muscle	NOUN
ap-2024	88	54	involved	involve	VERB
ap-2024	88	55	in	in	ADP
ap-2024	88	56	respiratory	respiratory	ADJ
ap-2024	88	57	breathing	breathing	NOUN
ap-2024	88	58	,	,	PUNCT
ap-2024	88	59	a	a	DET
ap-2024	88	60	fixed	fix	VERB
ap-2024	88	61	respiratory	respiratory	ADJ
ap-2024	88	62	rate	rate	NOUN
ap-2024	88	63	(	(	PUNCT
ap-2024	88	64	rr	rr	NOUN
ap-2024	88	65	)	)	PUNCT
ap-2024	88	66	is	be	AUX
ap-2024	88	67	introduced	introduce	VERB
ap-2024	88	68	at	at	ADP
ap-2024	88	69	14	14	NUM
ap-2024	88	70	bpm	bpm	NOUN
ap-2024	88	71	to	to	PART
ap-2024	88	72	allow	allow	VERB
ap-2024	88	73	the	the	DET
ap-2024	88	74	subject	subject	NOUN
ap-2024	88	75	to	to	PART
ap-2024	88	76	minimize	minimize	VERB
ap-2024	88	77	work	work	NOUN
ap-2024	88	78	of	of	ADP
ap-2024	88	79	breathing	breathe	VERB
ap-2024	88	80	[	[	X
ap-2024	88	81	5	5	NUM
ap-2024	88	82	]	]	PUNCT
ap-2024	88	83	.	.	PUNCT
ap-2024	89	1	since	since	SCONJ
ap-2024	89	2	the	the	DET
ap-2024	89	3	mechanical	mechanical	ADJ
ap-2024	89	4	ventilator	ventilator	NOUN
ap-2024	89	5	was	be	AUX
ap-2024	89	6	set	set	VERB
ap-2024	89	7	to	to	ADP
ap-2024	89	8	pressure	pressure	NOUN
ap-2024	89	9	-	-	PUNCT
ap-2024	89	10	controlled	control	VERB
ap-2024	89	11	mode	mode	NOUN
ap-2024	89	12	,	,	PUNCT
ap-2024	89	13	mv	mv	PROPN
ap-2024	89	14	was	be	AUX
ap-2024	89	15	obtained	obtain	VERB
ap-2024	89	16	by	by	ADP
ap-2024	89	17	a	a	DET
ap-2024	89	18	multiplication	multiplication	NOUN
ap-2024	89	19	of	of	ADP
ap-2024	89	20	tidal	tidal	ADJ
ap-2024	89	21	volume	volume	NOUN
ap-2024	89	22	(	(	PUNCT
ap-2024	89	23	vt	vt	PROPN
ap-2024	89	24	)	)	PUNCT
ap-2024	89	25	and	and	CCONJ
ap-2024	89	26	respiratory	respiratory	ADJ
ap-2024	89	27	rate	rate	NOUN
ap-2024	89	28	(	(	PUNCT
ap-2024	89	29	rr	rr	NOUN
ap-2024	89	30	)	)	PUNCT
ap-2024	89	31	.	.	PUNCT
ap-2024	90	1	because	because	SCONJ
ap-2024	90	2	of	of	ADP
ap-2024	90	3	the	the	DET
ap-2024	90	4	fixed	fixed	ADJ
ap-2024	90	5	rr	rr	PROPN
ap-2024	90	6	of	of	ADP
ap-2024	90	7	14	14	NUM
ap-2024	90	8	bpm	bpm	NOUN
ap-2024	90	9	,	,	PUNCT
ap-2024	90	10	the	the	DET
ap-2024	90	11	input	input	NOUN
ap-2024	90	12	for	for	ADP
ap-2024	90	13	this	this	DET
ap-2024	90	14	particular	particular	ADJ
ap-2024	90	15	system	system	NOUN
ap-2024	90	16	is	be	AUX
ap-2024	90	17	transformed	transform	VERB
ap-2024	90	18	from	from	ADP
ap-2024	90	19	mv	mv	PROPN
ap-2024	90	20	to	to	ADP
ap-2024	90	21	the	the	DET
ap-2024	90	22	difference	difference	NOUN
ap-2024	90	23	in	in	ADP
ap-2024	90	24	the	the	DET
ap-2024	90	25	driving	drive	VERB
ap-2024	90	26	pressure	pressure	NOUN
ap-2024	90	27	(	(	PUNCT
ap-2024	90	28	∆p	∆p	NOUN
ap-2024	90	29	=	=	SYM
ap-2024	90	30	pip	pip	PROPN
ap-2024	90	31	−peep	−peep	PROPN
ap-2024	90	32	)	)	PUNCT
ap-2024	90	33	between	between	ADP
ap-2024	90	34	inspiration	inspiration	NOUN
ap-2024	90	35	and	and	CCONJ
ap-2024	90	36	expiration	expiration	NOUN
ap-2024	90	37	pressure	pressure	NOUN
ap-2024	90	38	,	,	PUNCT
ap-2024	90	39	and	and	CCONJ
ap-2024	90	40	has	have	VERB
ap-2024	90	41	a	a	DET
ap-2024	90	42	direct	direct	ADJ
ap-2024	90	43	influence	influence	NOUN
ap-2024	90	44	on	on	ADP
ap-2024	90	45	vt	vt	PROPN
ap-2024	90	46	.	.	PUNCT
ap-2024	91	1	2.4	2.4	NUM
ap-2024	91	2	.	.	PUNCT
ap-2024	92	1	nonlinear	nonlinear	PROPN
ap-2024	92	2	hammerstein	hammerstein	PROPN
ap-2024	92	3	model	model	PROPN
ap-2024	92	4	providing	provide	VERB
ap-2024	92	5	a	a	DET
ap-2024	92	6	representation	representation	NOUN
ap-2024	92	7	of	of	ADP
ap-2024	92	8	signal	signal	ADJ
ap-2024	92	9	flow	flow	NOUN
ap-2024	92	10	using	use	VERB
ap-2024	92	11	a	a	DET
ap-2024	92	12	blockoriented	blockoriente	VERB
ap-2024	92	13	structure	structure	NOUN
ap-2024	92	14	,	,	PUNCT
ap-2024	92	15	the	the	DET
ap-2024	92	16	hammerstein	hammerstein	PROPN
ap-2024	92	17	model	model	NOUN
ap-2024	92	18	comprises	comprise	VERB
ap-2024	92	19	a	a	DET
ap-2024	92	20	static	static	ADJ
ap-2024	92	21	nonlinearity	nonlinearity	NOUN
ap-2024	92	22	n	n	PRON
ap-2024	92	23	[	[	X
ap-2024	92	24	·	·	X
ap-2024	92	25	]	]	X
ap-2024	92	26	at	at	ADP
ap-2024	92	27	the	the	DET
ap-2024	92	28	input	input	NOUN
ap-2024	92	29	u(k	u(k	PROPN
ap-2024	92	30	)	)	PUNCT
ap-2024	92	31	cascaded	cascade	VERB
ap-2024	92	32	with	with	ADP
ap-2024	92	33	a	a	DET
ap-2024	92	34	linear	linear	ADJ
ap-2024	92	35	dynamic	dynamic	ADJ
ap-2024	92	36	model	model	NOUN
ap-2024	92	37	h(z	h(z	NOUN
ap-2024	92	38	):	):	PUNCT
ap-2024	92	39	n[•	n[•	NOUN
ap-2024	92	40	]	]	PUNCT
ap-2024	92	41	h(z	h(z	NOUN
ap-2024	92	42	)	)	PUNCT
ap-2024	92	43	u(k	u(k	PROPN
ap-2024	92	44	)	)	PUNCT
ap-2024	92	45	v(k	v(k	PROPN
ap-2024	92	46	)	)	PUNCT
ap-2024	92	47	y(k	y(k	PROPN
ap-2024	92	48	)	)	PUNCT
ap-2024	92	49	the	the	DET
ap-2024	92	50	static	static	ADJ
ap-2024	92	51	nonlinearity	nonlinearity	NOUN
ap-2024	92	52	maps	map	VERB
ap-2024	92	53	the	the	DET
ap-2024	92	54	input	input	NOUN
ap-2024	92	55	u(k	u(k	PROPN
ap-2024	92	56	)	)	PUNCT
ap-2024	92	57	into	into	ADP
ap-2024	92	58	the	the	DET
ap-2024	92	59	intermediate	intermediate	ADJ
ap-2024	92	60	variable	variable	ADJ
ap-2024	92	61	v(k	v(k	NOUN
ap-2024	92	62	)	)	PUNCT
ap-2024	92	63	(	(	PUNCT
ap-2024	92	64	see	see	VERB
ap-2024	92	65	(	(	PUNCT
ap-2024	92	66	5	5	NUM
ap-2024	92	67	)	)	PUNCT
ap-2024	92	68	)	)	PUNCT
ap-2024	92	69	and	and	CCONJ
ap-2024	92	70	the	the	DET
ap-2024	92	71	linear	linear	ADJ
ap-2024	92	72	dynamic	dynamic	ADJ
ap-2024	92	73	model	model	NOUN
ap-2024	92	74	maps	map	VERB
ap-2024	92	75	the	the	DET
ap-2024	92	76	intermediate	intermediate	ADJ
ap-2024	92	77	variable	variable	ADJ
ap-2024	92	78	v(k	v(k	NOUN
ap-2024	92	79	)	)	PUNCT
ap-2024	92	80	into	into	ADP
ap-2024	92	81	the	the	DET
ap-2024	92	82	output	output	NOUN
ap-2024	92	83	y(k	y(k	PROPN
ap-2024	92	84	)	)	PUNCT
ap-2024	92	85	(	(	PUNCT
ap-2024	92	86	see	see	VERB
ap-2024	92	87	(	(	PUNCT
ap-2024	92	88	6	6	NUM
ap-2024	92	89	)	)	PUNCT
ap-2024	92	90	)	)	PUNCT
ap-2024	92	91	.	.	PUNCT
ap-2024	93	1	the	the	DET
ap-2024	93	2	model	model	NOUN
ap-2024	93	3	can	can	AUX
ap-2024	93	4	be	be	AUX
ap-2024	93	5	represented	represent	VERB
ap-2024	93	6	by	by	ADP
ap-2024	93	7	v(k	v(k	NOUN
ap-2024	93	8	)	)	PUNCT
ap-2024	93	9	=	=	SYM
ap-2024	94	1	n	n	PROPN
ap-2024	95	1	[	[	X
ap-2024	95	2	u(k	u(k	PROPN
ap-2024	95	3	)	)	PUNCT
ap-2024	95	4	]	]	PUNCT
ap-2024	95	5	,	,	PUNCT
ap-2024	95	6	(	(	PUNCT
ap-2024	95	7	5	5	X
ap-2024	95	8	)	)	PUNCT
ap-2024	95	9	y(k	y(k	NOUN
ap-2024	95	10	)	)	PUNCT
ap-2024	96	1	=	=	PUNCT
ap-2024	97	1	p∑	p∑	X
ap-2024	97	2	i=1	i=1	X
ap-2024	97	3	a(i	a(i	PROPN
ap-2024	97	4	)	)	PUNCT
ap-2024	97	5	·	·	PUNCT
ap-2024	98	1	y(k	y(k	PROPN
ap-2024	98	2	−	−	PROPN
ap-2024	98	3	i	i	PROPN
ap-2024	98	4	)	)	PUNCT
ap-2024	99	1	+	+	CCONJ
ap-2024	99	2	q∑	q∑	X
ap-2024	99	3	j=1	j=1	PROPN
ap-2024	99	4	b(j	b(j	PROPN
ap-2024	99	5	)	)	PUNCT
ap-2024	99	6	·	·	PUNCT
ap-2024	100	1	v(k	v(k	NOUN
ap-2024	100	2	−	−	PROPN
ap-2024	100	3	j	j	PROPN
ap-2024	100	4	)	)	PUNCT
ap-2024	100	5	.	.	PUNCT
ap-2024	101	1	(	(	PUNCT
ap-2024	101	2	6	6	X
ap-2024	101	3	)	)	PUNCT
ap-2024	101	4	rearranging	rearrange	VERB
ap-2024	101	5	(	(	PUNCT
ap-2024	101	6	5	5	NUM
ap-2024	101	7	)	)	PUNCT
ap-2024	101	8	and	and	CCONJ
ap-2024	101	9	(	(	PUNCT
ap-2024	101	10	6	6	NUM
ap-2024	101	11	)	)	PUNCT
ap-2024	101	12	,	,	PUNCT
ap-2024	101	13	the	the	DET
ap-2024	101	14	hammerstein	hammerstein	PROPN
ap-2024	101	15	model	model	NOUN
ap-2024	101	16	can	can	AUX
ap-2024	101	17	be	be	AUX
ap-2024	101	18	described	describe	VERB
ap-2024	101	19	as	as	ADP
ap-2024	101	20	shown	show	VERB
ap-2024	101	21	in	in	ADP
ap-2024	101	22	(	(	PUNCT
ap-2024	101	23	7	7	NUM
ap-2024	101	24	)	)	PUNCT
ap-2024	101	25	.	.	PUNCT
ap-2024	102	1	y(k	y(k	PROPN
ap-2024	102	2	)	)	PUNCT
ap-2024	103	1	=	=	PUNCT
ap-2024	104	1	p∑	p∑	X
ap-2024	104	2	i=1	i=1	X
ap-2024	104	3	a(i	a(i	PROPN
ap-2024	104	4	)	)	PUNCT
ap-2024	104	5	·	·	PUNCT
ap-2024	105	1	y(k	y(k	PROPN
ap-2024	105	2	−	−	PROPN
ap-2024	105	3	i	i	PROPN
ap-2024	105	4	)	)	PUNCT
ap-2024	106	1	+	+	CCONJ
ap-2024	106	2	q∑	q∑	X
ap-2024	106	3	j=1	j=1	PROPN
ap-2024	106	4	b(j	b(j	PROPN
ap-2024	106	5	)	)	PUNCT
ap-2024	106	6	·	·	PUNCT
ap-2024	106	7	n	n	PRON
ap-2024	107	1	[	[	X
ap-2024	107	2	u(k	u(k	PROPN
ap-2024	107	3	−	−	PROPN
ap-2024	107	4	j	j	PROPN
ap-2024	107	5	)	)	PUNCT
ap-2024	107	6	]	]	PUNCT
ap-2024	108	1	(	(	PUNCT
ap-2024	108	2	7	7	X
ap-2024	108	3	)	)	PUNCT
ap-2024	108	4	it	it	PRON
ap-2024	108	5	can	can	AUX
ap-2024	108	6	be	be	AUX
ap-2024	108	7	seen	see	VERB
ap-2024	108	8	from	from	ADP
ap-2024	108	9	(	(	PUNCT
ap-2024	108	10	7	7	NUM
ap-2024	108	11	)	)	PUNCT
ap-2024	108	12	that	that	SCONJ
ap-2024	108	13	the	the	DET
ap-2024	108	14	hammerstein	hammerstein	PROPN
ap-2024	108	15	model	model	NOUN
ap-2024	108	16	is	be	AUX
ap-2024	108	17	very	very	ADV
ap-2024	108	18	similar	similar	ADJ
ap-2024	108	19	to	to	ADP
ap-2024	108	20	the	the	DET
ap-2024	108	21	linear	linear	ADJ
ap-2024	108	22	dynamic	dynamic	ADJ
ap-2024	108	23	model	model	NOUN
ap-2024	108	24	.	.	PUNCT
ap-2024	109	1	because	because	SCONJ
ap-2024	109	2	the	the	DET
ap-2024	109	3	qualitative	qualitative	ADJ
ap-2024	109	4	behavior	behavior	NOUN
ap-2024	109	5	of	of	ADP
ap-2024	109	6	the	the	DET
ap-2024	109	7	transient	transient	ADJ
ap-2024	109	8	response	response	NOUN
ap-2024	109	9	is	be	AUX
ap-2024	109	10	entirely	entirely	ADV
ap-2024	109	11	determined	determine	VERB
ap-2024	109	12	by	by	ADP
ap-2024	109	13	the	the	DET
ap-2024	109	14	discrete	discrete	ADJ
ap-2024	109	15	transfer	transfer	NOUN
ap-2024	109	16	function	function	NOUN
ap-2024	109	17	of	of	ADP
ap-2024	109	18	the	the	DET
ap-2024	109	19	linear	linear	ADJ
ap-2024	109	20	subsystem	subsystem	NOUN
ap-2024	109	21	h(z	h(z	NOUN
ap-2024	109	22	)	)	PUNCT
ap-2024	109	23	,	,	PUNCT
ap-2024	109	24	it	it	PRON
ap-2024	109	25	can	can	AUX
ap-2024	109	26	be	be	AUX
ap-2024	109	27	used	use	VERB
ap-2024	109	28	as	as	ADP
ap-2024	109	29	an	an	DET
ap-2024	109	30	alternative	alternative	NOUN
ap-2024	109	31	to	to	ADP
ap-2024	109	32	the	the	DET
ap-2024	109	33	linear	linear	ADJ
ap-2024	109	34	model	model	NOUN
ap-2024	109	35	.	.	PUNCT
ap-2024	110	1	this	this	DET
ap-2024	110	2	model	model	NOUN
ap-2024	110	3	can	can	AUX
ap-2024	110	4	exhibit	exhibit	VERB
ap-2024	110	5	input	input	NOUN
ap-2024	110	6	multiplicities	multiplicity	NOUN
ap-2024	110	7	if	if	SCONJ
ap-2024	110	8	the	the	DET
ap-2024	110	9	static	static	ADJ
ap-2024	110	10	nonlinearity	nonlinearity	NOUN
ap-2024	110	11	is	be	AUX
ap-2024	110	12	in	in	ADP
ap-2024	110	13	the	the	DET
ap-2024	110	14	form	form	NOUN
ap-2024	110	15	of	of	ADP
ap-2024	110	16	input	input	NOUN
ap-2024	110	17	multiplicities	multiplicity	NOUN
ap-2024	110	18	.	.	PUNCT
ap-2024	111	1	according	accord	VERB
ap-2024	111	2	to	to	ADP
ap-2024	111	3	the	the	DET
ap-2024	111	4	experimental	experimental	ADJ
ap-2024	111	5	data	datum	NOUN
ap-2024	111	6	and	and	CCONJ
ap-2024	111	7	the	the	DET
ap-2024	111	8	model	model	NOUN
ap-2024	111	9	structure	structure	NOUN
ap-2024	111	10	,	,	PUNCT
ap-2024	111	11	the	the	DET
ap-2024	111	12	unknown	unknown	ADJ
ap-2024	111	13	parameters	parameter	NOUN
ap-2024	111	14	(	(	PUNCT
ap-2024	111	15	a(i	a(i	NOUN
ap-2024	111	16	)	)	PUNCT
ap-2024	111	17	and	and	CCONJ
ap-2024	111	18	b(j	b(j	NUM
ap-2024	111	19	)	)	PUNCT
ap-2024	111	20	)	)	PUNCT
ap-2024	111	21	can	can	AUX
ap-2024	111	22	be	be	AUX
ap-2024	111	23	estimated	estimate	VERB
ap-2024	111	24	by	by	ADP
ap-2024	111	25	a	a	DET
ap-2024	111	26	constrained	constrain	VERB
ap-2024	111	27	least	least	ADJ
ap-2024	111	28	-	-	PUNCT
ap-2024	111	29	squares	square	NOUN
ap-2024	111	30	algorithm	algorithm	NOUN
ap-2024	111	31	,	,	PUNCT
ap-2024	111	32	as	as	SCONJ
ap-2024	111	33	provided	provide	VERB
ap-2024	111	34	in	in	ADP
ap-2024	111	35	(	(	PUNCT
ap-2024	111	36	3	3	NUM
ap-2024	111	37	)	)	PUNCT
ap-2024	111	38	and	and	CCONJ
ap-2024	111	39	(	(	PUNCT
ap-2024	111	40	4	4	NUM
ap-2024	111	41	)	)	PUNCT
ap-2024	111	42	.	.	PUNCT
ap-2024	112	1	2.5	2.5	NUM
ap-2024	112	2	.	.	PUNCT
ap-2024	112	3	evaluation	evaluation	NOUN
ap-2024	112	4	of	of	ADP
ap-2024	112	5	model	model	NOUN
ap-2024	112	6	structure	structure	NOUN
ap-2024	112	7	both	both	CCONJ
ap-2024	112	8	the	the	DET
ap-2024	112	9	linear	linear	ADJ
ap-2024	112	10	and	and	CCONJ
ap-2024	112	11	nonlinear	nonlinear	ADJ
ap-2024	112	12	model	model	NOUN
ap-2024	112	13	structures	structure	NOUN
ap-2024	112	14	are	be	AUX
ap-2024	112	15	used	use	VERB
ap-2024	112	16	to	to	PART
ap-2024	112	17	describe	describe	VERB
ap-2024	112	18	this	this	DET
ap-2024	112	19	system	system	NOUN
ap-2024	112	20	.	.	PUNCT
ap-2024	113	1	the	the	DET
ap-2024	113	2	performance	performance	NOUN
ap-2024	113	3	index	index	NOUN
ap-2024	113	4	used	use	VERB
ap-2024	113	5	in	in	ADP
ap-2024	113	6	our	our	PRON
ap-2024	113	7	evaluation	evaluation	NOUN
ap-2024	113	8	was	be	AUX
ap-2024	113	9	obtained	obtain	VERB
ap-2024	113	10	by	by	ADP
ap-2024	113	11	root	root	NOUN
ap-2024	113	12	mean	mean	ADJ
ap-2024	113	13	square	square	ADJ
ap-2024	113	14	error	error	NOUN
ap-2024	113	15	(	(	PUNCT
ap-2024	113	16	rmse	rmse	NOUN
ap-2024	113	17	)	)	PUNCT
ap-2024	113	18	.	.	PUNCT
ap-2024	114	1	table	table	NOUN
ap-2024	114	2	1	1	NUM
ap-2024	114	3	presents	present	VERB
ap-2024	114	4	the	the	DET
ap-2024	114	5	results	result	NOUN
ap-2024	114	6	of	of	ADP
ap-2024	114	7	the	the	DET
ap-2024	114	8	comparisons	comparison	NOUN
ap-2024	114	9	,	,	PUNCT
ap-2024	114	10	divided	divide	VERB
ap-2024	114	11	into	into	ADP
ap-2024	114	12	an	an	DET
ap-2024	114	13	estimated	estimate	VERB
ap-2024	114	14	dataset	dataset	NOUN
ap-2024	114	15	and	and	CCONJ
ap-2024	114	16	a	a	DET
ap-2024	114	17	validated	validate	VERB
ap-2024	114	18	dataset	dataset	NOUN
ap-2024	114	19	for	for	ADP
ap-2024	114	20	the	the	DET
ap-2024	114	21	different	different	ADJ
ap-2024	114	22	model	model	NOUN
ap-2024	114	23	structures	structure	NOUN
ap-2024	114	24	.	.	PUNCT
ap-2024	115	1	based	base	VERB
ap-2024	115	2	on	on	ADP
ap-2024	115	3	the	the	DET
ap-2024	115	4	validation	validation	NOUN
ap-2024	115	5	dataset	dataset	NOUN
ap-2024	115	6	,	,	PUNCT
ap-2024	115	7	the	the	DET
ap-2024	115	8	first	first	ADJ
ap-2024	115	9	-	-	PUNCT
ap-2024	115	10	order	order	NOUN
ap-2024	115	11	hammerstein	hammerstein	PROPN
ap-2024	115	12	model	model	NOUN
ap-2024	115	13	provides	provide	VERB
ap-2024	115	14	the	the	DET
ap-2024	115	15	best	good	ADJ
ap-2024	115	16	result	result	NOUN
ap-2024	115	17	of	of	ADP
ap-2024	115	18	all	all	DET
ap-2024	115	19	the	the	DET
ap-2024	115	20	listed	list	VERB
ap-2024	115	21	models	model	NOUN
ap-2024	115	22	.	.	PUNCT
ap-2024	116	1	nevertheless	nevertheless	ADV
ap-2024	116	2	,	,	PUNCT
ap-2024	116	3	the	the	DET
ap-2024	116	4	first	first	ADJ
ap-2024	116	5	-	-	PUNCT
ap-2024	116	6	order	order	NOUN
ap-2024	116	7	linear	linear	NOUN
ap-2024	116	8	model	model	NOUN
ap-2024	116	9	also	also	ADV
ap-2024	116	10	offers	offer	VERB
ap-2024	116	11	the	the	DET
ap-2024	116	12	best	good	ADJ
ap-2024	116	13	result	result	NOUN
ap-2024	116	14	of	of	ADP
ap-2024	116	15	the	the	DET
ap-2024	116	16	rmse	rmse	ADJ
ap-2024	116	17	evaluation	evaluation	NOUN
ap-2024	116	18	of	of	ADP
ap-2024	116	19	all	all	DET
ap-2024	116	20	the	the	DET
ap-2024	116	21	linear	linear	ADJ
ap-2024	116	22	models	model	NOUN
ap-2024	116	23	.	.	PUNCT
ap-2024	117	1	in	in	ADP
ap-2024	117	2	addition	addition	NOUN
ap-2024	117	3	,	,	PUNCT
ap-2024	117	4	qualitative	qualitative	ADJ
ap-2024	117	5	comparison	comparison	NOUN
ap-2024	117	6	of	of	ADP
ap-2024	117	7	the	the	DET
ap-2024	117	8	selected	select	VERB
ap-2024	117	9	models	model	NOUN
ap-2024	117	10	is	be	AUX
ap-2024	117	11	provided	provide	VERB
ap-2024	117	12	in	in	ADP
ap-2024	117	13	figure	figure	NOUN
ap-2024	117	14	3	3	NUM
ap-2024	117	15	.	.	PUNCT
ap-2024	118	1	in	in	ADP
ap-2024	118	2	the	the	DET
ap-2024	118	3	following	follow	VERB
ap-2024	118	4	section	section	NOUN
ap-2024	118	5	,	,	PUNCT
ap-2024	118	6	the	the	DET
ap-2024	118	7	design	design	NOUN
ap-2024	118	8	of	of	ADP
ap-2024	118	9	the	the	DET
ap-2024	118	10	h∞	h∞	PROPN
ap-2024	118	11	controller	controller	NOUN
ap-2024	118	12	and	and	CCONJ
ap-2024	118	13	simulation	simulation	NOUN
ap-2024	118	14	results	result	NOUN
ap-2024	118	15	are	be	AUX
ap-2024	118	16	conducted	conduct	VERB
ap-2024	118	17	using	use	VERB
ap-2024	118	18	the	the	DET
ap-2024	118	19	first	first	ADJ
ap-2024	118	20	-	-	PUNCT
ap-2024	118	21	order	order	NOUN
ap-2024	118	22	linear	linear	PROPN
ap-2024	118	23	model	model	NOUN
ap-2024	118	24	.	.	PUNCT
ap-2024	119	1	it	it	PRON
ap-2024	119	2	should	should	AUX
ap-2024	119	3	be	be	AUX
ap-2024	119	4	emphasized	emphasize	VERB
ap-2024	119	5	that	that	SCONJ
ap-2024	119	6	capnography	capnography	NOUN
ap-2024	119	7	has	have	VERB
ap-2024	119	8	an	an	DET
ap-2024	119	9	accuracy	accuracy	NOUN
ap-2024	119	10	of	of	ADP
ap-2024	119	11	±2mmhg	±2mmhg	PROPN
ap-2024	119	12	for	for	ADP
ap-2024	119	13	values	value	NOUN
ap-2024	119	14	in	in	ADP
ap-2024	119	15	the	the	DET
ap-2024	119	16	0–40mmhg	0–40mmhg	NOUN
ap-2024	119	17	range	range	NOUN
ap-2024	119	18	,	,	PUNCT
ap-2024	119	19	±5	±5	VERB
ap-2024	119	20	%	%	NOUN
ap-2024	119	21	for	for	ADP
ap-2024	119	22	values	value	NOUN
ap-2024	119	23	in	in	ADP
ap-2024	119	24	the	the	DET
ap-2024	119	25	41–70mmhg	41–70mmhg	NUM
ap-2024	119	26	range	range	NOUN
ap-2024	119	27	,	,	PUNCT
ap-2024	119	28	and	and	CCONJ
ap-2024	119	29	±8	±8	CCONJ
ap-2024	119	30	%	%	NOUN
ap-2024	119	31	for	for	ADP
ap-2024	119	32	values	value	NOUN
ap-2024	119	33	in	in	ADP
ap-2024	119	34	the	the	DET
ap-2024	119	35	71–150mmhg	71–150mmhg	NUM
ap-2024	119	36	range	range	NOUN
ap-2024	119	37	[	[	X
ap-2024	119	38	14	14	NUM
ap-2024	119	39	]	]	SYM
ap-2024	119	40	.	.	PUNCT
ap-2024	120	1	897	897	NUM
ap-2024	120	2	anake	anake	PROPN
ap-2024	120	3	pomprapa	pomprapa	NOUN
ap-2024	120	4	,	,	PUNCT
ap-2024	120	5	berno	berno	ADJ
ap-2024	120	6	misgeld	misgeld	PROPN
ap-2024	120	7	et	et	PROPN
ap-2024	120	8	al	al	PROPN
ap-2024	120	9	.	.	PROPN
ap-2024	120	10	acta	acta	PROPN
ap-2024	120	11	polytechnica	polytechnica	PROPN
ap-2024	120	12	estimated	estimate	VERB
ap-2024	120	13	validated	validated	ADJ
ap-2024	120	14	rmse	rmse	NOUN
ap-2024	120	15	rmse	rmse	PROPN
ap-2024	120	16	1st	1st	ADJ
ap-2024	120	17	linear	linear	PROPN
ap-2024	120	18	affine	affine	NOUN
ap-2024	120	19	2.2475	2.2475	NUM
ap-2024	120	20	2.2880	2.2880	NUM
ap-2024	120	21	2nd	2nd	ADJ
ap-2024	120	22	linear	linear	NOUN
ap-2024	120	23	affine	affine	NOUN
ap-2024	120	24	2.2116	2.2116	NUM
ap-2024	120	25	2.2988	2.2988	NUM
ap-2024	120	26	2nd	2nd	ADJ
ap-2024	120	27	affine	affine	NOUN
ap-2024	120	28	w.	w.	PROPN
ap-2024	120	29	zero	zero	NUM
ap-2024	120	30	2.1597	2.1597	NUM
ap-2024	120	31	2.4093	2.4093	NUM
ap-2024	120	32	1st	1st	NOUN
ap-2024	120	33	hammerstein	hammerstein	PROPN
ap-2024	121	1	2.1988	2.1988	NUM
ap-2024	121	2	1.6709	1.6709	NUM
ap-2024	121	3	2nd	2nd	ADJ
ap-2024	121	4	hammerstein	hammerstein	PROPN
ap-2024	121	5	2.1680	2.1680	NUM
ap-2024	121	6	1.7804	1.7804	NUM
ap-2024	121	7	2nd	2nd	ADJ
ap-2024	121	8	ham	ham	NOUN
ap-2024	121	9	.	.	PUNCT
ap-2024	122	1	w.	w.	PROPN
ap-2024	122	2	zero	zero	NUM
ap-2024	122	3	2.1351	2.1351	NUM
ap-2024	122	4	1.8085	1.8085	NUM
ap-2024	122	5	table	table	NOUN
ap-2024	122	6	1	1	NUM
ap-2024	122	7	.	.	PUNCT
ap-2024	122	8	root	root	NOUN
ap-2024	122	9	mean	mean	VERB
ap-2024	122	10	squared	square	VERB
ap-2024	122	11	error	error	NOUN
ap-2024	122	12	(	(	PUNCT
ap-2024	122	13	rmse	rmse	NOUN
ap-2024	122	14	)	)	PUNCT
ap-2024	122	15	evaluation	evaluation	NOUN
ap-2024	122	16	of	of	ADP
ap-2024	122	17	the	the	DET
ap-2024	122	18	different	different	ADJ
ap-2024	122	19	model	model	NOUN
ap-2024	122	20	structures	structure	NOUN
ap-2024	122	21	.	.	PUNCT
ap-2024	123	1	r	r	NOUN
ap-2024	123	2	y	y	PROPN
ap-2024	123	3	k	k	PROPN
ap-2024	123	4	gp	gp	PROPN
ap-2024	124	1	n	n	CCONJ
ap-2024	124	2	m	m	PROPN
ap-2024	124	3	-1	-1	ADP
ap-2024	125	1	u	u	NOUN
ap-2024	125	2	dn	dn	INTJ
ap-2024	125	3	dm	dm	AUX
ap-2024	125	4	figure	figure	VERB
ap-2024	125	5	4	4	NUM
ap-2024	125	6	.	.	PUNCT
ap-2024	126	1	the	the	DET
ap-2024	126	2	h∞	h∞	PROPN
ap-2024	126	3	control	control	NOUN
ap-2024	126	4	structure	structure	NOUN
ap-2024	126	5	with	with	ADP
ap-2024	126	6	left	leave	VERB
ap-2024	126	7	coprime	coprime	ADJ
ap-2024	126	8	factorization	factorization	NOUN
ap-2024	126	9	of	of	ADP
ap-2024	126	10	a	a	DET
ap-2024	126	11	plant	plant	NOUN
ap-2024	126	12	g.	g.	NOUN
ap-2024	126	13	3	3	X
ap-2024	126	14	.	.	PUNCT
ap-2024	127	1	design	design	NOUN
ap-2024	127	2	of	of	ADP
ap-2024	127	3	robust	robust	ADJ
ap-2024	127	4	controller	controller	NOUN
ap-2024	127	5	3.1	3.1	NUM
ap-2024	127	6	.	.	PUNCT
ap-2024	127	7	loop	loop	NOUN
ap-2024	127	8	-	-	PUNCT
ap-2024	127	9	shaping	shaping	NOUN
ap-2024	127	10	design	design	NOUN
ap-2024	127	11	using	use	VERB
ap-2024	127	12	h∞	h∞	PRON
ap-2024	127	13	this	this	DET
ap-2024	127	14	method	method	NOUN
ap-2024	127	15	combines	combine	VERB
ap-2024	127	16	the	the	DET
ap-2024	127	17	principle	principle	NOUN
ap-2024	127	18	of	of	ADP
ap-2024	127	19	bode	bode	VERB
ap-2024	127	20	’s	’s	PART
ap-2024	127	21	sensitivity	sensitivity	NOUN
ap-2024	127	22	integral	integral	ADJ
ap-2024	127	23	[	[	X
ap-2024	127	24	15	15	NUM
ap-2024	127	25	]	]	PUNCT
ap-2024	127	26	and	and	CCONJ
ap-2024	127	27	the	the	DET
ap-2024	127	28	h∞	h∞	PRON
ap-2024	127	29	optimization	optimization	NOUN
ap-2024	127	30	technique	technique	NOUN
ap-2024	127	31	by	by	ADP
ap-2024	127	32	minimizing	minimize	VERB
ap-2024	127	33	the	the	DET
ap-2024	127	34	h∞	h∞	PRON
ap-2024	127	35	norm	norm	NOUN
ap-2024	127	36	in	in	ADP
ap-2024	127	37	the	the	DET
ap-2024	127	38	presence	presence	NOUN
ap-2024	127	39	of	of	ADP
ap-2024	127	40	uncertainty	uncertainty	NOUN
ap-2024	127	41	.	.	PUNCT
ap-2024	128	1	in	in	ADP
ap-2024	128	2	designing	design	VERB
ap-2024	128	3	the	the	DET
ap-2024	128	4	h∞	h∞	PROPN
ap-2024	128	5	controller	controller	NOUN
ap-2024	128	6	,	,	PUNCT
ap-2024	128	7	both	both	DET
ap-2024	128	8	stability	stability	NOUN
ap-2024	128	9	and	and	CCONJ
ap-2024	128	10	performance	performance	NOUN
ap-2024	128	11	are	be	AUX
ap-2024	128	12	taken	take	VERB
ap-2024	128	13	into	into	ADP
ap-2024	128	14	account	account	NOUN
ap-2024	128	15	,	,	PUNCT
ap-2024	128	16	with	with	ADP
ap-2024	128	17	bounded	bounded	ADJ
ap-2024	128	18	differences	difference	NOUN
ap-2024	128	19	between	between	ADP
ap-2024	128	20	the	the	DET
ap-2024	128	21	nominal	nominal	ADJ
ap-2024	128	22	model	model	NOUN
ap-2024	128	23	and	and	CCONJ
ap-2024	128	24	the	the	DET
ap-2024	128	25	real	real	ADJ
ap-2024	128	26	nonlinear	nonlinear	ADJ
ap-2024	128	27	plant	plant	NOUN
ap-2024	128	28	.	.	PUNCT
ap-2024	129	1	given	give	VERB
ap-2024	129	2	a	a	DET
ap-2024	129	3	nominal	nominal	ADJ
ap-2024	129	4	discrete	discrete	ADJ
ap-2024	129	5	-	-	PUNCT
ap-2024	129	6	time	time	NOUN
ap-2024	129	7	model	model	NOUN
ap-2024	129	8	of	of	ADP
ap-2024	129	9	a	a	DET
ap-2024	129	10	plant	plant	NOUN
ap-2024	129	11	g	g	NOUN
ap-2024	129	12	,	,	PUNCT
ap-2024	129	13	it	it	PRON
ap-2024	129	14	can	can	AUX
ap-2024	129	15	be	be	AUX
ap-2024	129	16	represented	represent	VERB
ap-2024	129	17	using	use	VERB
ap-2024	129	18	a	a	DET
ap-2024	129	19	normalized	normalize	VERB
ap-2024	129	20	left	leave	VERB
ap-2024	129	21	coprime	coprime	NOUN
ap-2024	129	22	factorization	factorization	NOUN
ap-2024	129	23	(	(	PUNCT
ap-2024	129	24	lcf	lcf	PROPN
ap-2024	129	25	)	)	PUNCT
ap-2024	129	26	g	g	NOUN
ap-2024	129	27	=	=	SYM
ap-2024	129	28	m−1	m−1	PROPN
ap-2024	129	29	·	·	PUNCT
ap-2024	129	30	n	n	CCONJ
ap-2024	129	31	,	,	PUNCT
ap-2024	129	32	(	(	PUNCT
ap-2024	129	33	8)	8)	NUM
ap-2024	129	34	where	where	SCONJ
ap-2024	129	35	m	m	VERB
ap-2024	129	36	and	and	CCONJ
ap-2024	129	37	n	n	PRON
ap-2024	129	38	are	be	AUX
ap-2024	129	39	coprime	coprime	ADJ
ap-2024	129	40	matrices	matrix	NOUN
ap-2024	129	41	in	in	ADP
ap-2024	129	42	rh∞	rh∞	PROPN
ap-2024	129	43	(	(	PUNCT
ap-2024	129	44	figure	figure	NOUN
ap-2024	129	45	4	4	NUM
ap-2024	129	46	):	):	PUNCT
ap-2024	129	47	a	a	DET
ap-2024	129	48	perturbed	perturb	VERB
ap-2024	129	49	model	model	NOUN
ap-2024	129	50	associated	associate	VERB
ap-2024	129	51	with	with	ADP
ap-2024	129	52	the	the	DET
ap-2024	129	53	lcf	lcf	PROPN
ap-2024	129	54	representation	representation	NOUN
ap-2024	129	55	of	of	ADP
ap-2024	129	56	the	the	DET
ap-2024	129	57	plant	plant	NOUN
ap-2024	129	58	g	g	NOUN
ap-2024	129	59	is	be	AUX
ap-2024	129	60	given	give	VERB
ap-2024	129	61	by	by	ADP
ap-2024	129	62	(	(	PUNCT
ap-2024	129	63	9	9	NUM
ap-2024	129	64	)	)	PUNCT
ap-2024	129	65	,	,	PUNCT
ap-2024	129	66	where	where	SCONJ
ap-2024	129	67	perturbations	perturbation	NOUN
ap-2024	129	68	are	be	AUX
ap-2024	129	69	assumed	assume	VERB
ap-2024	129	70	to	to	PART
ap-2024	129	71	be	be	AUX
ap-2024	129	72	bounded	bound	VERB
ap-2024	129	73	,	,	PUNCT
ap-2024	129	74	is	be	AUX
ap-2024	129	75	given	give	VERB
ap-2024	129	76	by	by	ADP
ap-2024	129	77	gp	gp	NOUN
ap-2024	130	1	=	=	PUNCT
ap-2024	130	2	(	(	PUNCT
ap-2024	130	3	m	m	VERB
ap-2024	130	4	+	+	NUM
ap-2024	130	5	∆m)−1	∆m)−1	VERB
ap-2024	130	6	·	·	PUNCT
ap-2024	130	7	(	(	PUNCT
ap-2024	130	8	n	n	X
ap-2024	130	9	+	+	CCONJ
ap-2024	130	10	∆n),∥∥∆m	∆n),∥∥∆m	PROPN
ap-2024	130	11	∆n	∆n	X
ap-2024	130	12	∥∥	∥∥	X
ap-2024	130	13	∞	∞	PROPN
ap-2024	130	14	<	<	X
ap-2024	130	15	ε	ε	PROPN
ap-2024	130	16	(	(	PUNCT
ap-2024	130	17	9	9	NUM
ap-2024	130	18	)	)	PUNCT
ap-2024	130	19	the	the	DET
ap-2024	130	20	objective	objective	NOUN
ap-2024	130	21	is	be	AUX
ap-2024	130	22	to	to	PART
ap-2024	130	23	find	find	VERB
ap-2024	130	24	a	a	DET
ap-2024	130	25	robust	robust	ADJ
ap-2024	130	26	controller	controller	NOUN
ap-2024	130	27	k	k	NOUN
ap-2024	130	28	that	that	PRON
ap-2024	130	29	stabilizes	stabilize	VERB
ap-2024	130	30	gp	gp	NOUN
ap-2024	130	31	and	and	CCONJ
ap-2024	130	32	minimizes	minimize	NOUN
ap-2024	130	33	(	(	PUNCT
ap-2024	130	34	10	10	NUM
ap-2024	130	35	)	)	PUNCT
ap-2024	130	36	.	.	PUNCT
ap-2024	131	1	γmin	γmin	VERB
ap-2024	131	2	=	=	SYM
ap-2024	131	3	∥∥∥∥k(i	∥∥∥∥k(i	NOUN
ap-2024	131	4	−gk)−1m−1	−gk)−1m−1	X
ap-2024	131	5	(	(	PUNCT
ap-2024	131	6	i	i	PRON
ap-2024	131	7	−gk)−1m−1	−gk)−1m−1	X
ap-2024	131	8	∥∥∥∥	∥∥∥∥	NUM
ap-2024	131	9	∞	∞	NUM
ap-2024	131	10	(	(	PUNCT
ap-2024	131	11	10	10	NUM
ap-2024	131	12	)	)	PUNCT
ap-2024	131	13	the	the	DET
ap-2024	131	14	solution	solution	NOUN
ap-2024	131	15	of	of	ADP
ap-2024	131	16	this	this	PRON
ap-2024	131	17	h∞	h∞	PROPN
ap-2024	131	18	norm	norm	NOUN
ap-2024	131	19	problem	problem	NOUN
ap-2024	131	20	can	can	AUX
ap-2024	131	21	be	be	AUX
ap-2024	131	22	solved	solve	VERB
ap-2024	131	23	using	use	VERB
ap-2024	131	24	the	the	DET
ap-2024	131	25	algorithm	algorithm	NOUN
ap-2024	131	26	proposed	propose	VERB
ap-2024	131	27	by	by	ADP
ap-2024	131	28	mcfarlane	mcfarlane	PROPN
ap-2024	131	29	and	and	CCONJ
ap-2024	131	30	glover	glover	NOUN
ap-2024	132	1	[	[	X
ap-2024	132	2	11	11	NUM
ap-2024	132	3	]	]	PUNCT
ap-2024	132	4	.	.	PUNCT
ap-2024	133	1	define	define	VERB
ap-2024	133	2	[	[	X
ap-2024	133	3	a	a	DET
ap-2024	133	4	,	,	PUNCT
ap-2024	133	5	b	b	NOUN
ap-2024	133	6	,	,	PUNCT
ap-2024	133	7	c	c	NOUN
ap-2024	133	8	,	,	PUNCT
ap-2024	133	9	0	0	NUM
ap-2024	133	10	]	]	PUNCT
ap-2024	133	11	to	to	PART
ap-2024	133	12	be	be	AUX
ap-2024	133	13	a	a	DET
ap-2024	133	14	state	state	NOUN
ap-2024	133	15	space	space	NOUN
ap-2024	133	16	10	10	NUM
ap-2024	133	17	-3	-3	SYM
ap-2024	133	18	10	10	NUM
ap-2024	133	19	-2	-2	NOUN
ap-2024	133	20	10	10	NUM
ap-2024	133	21	-1	-1	SYM
ap-2024	134	1	10	10	NUM
ap-2024	134	2	0	0	NUM
ap-2024	134	3	-20	-20	NUM
ap-2024	134	4	-10	-10	SYM
ap-2024	134	5	0	0	NUM
ap-2024	134	6	10	10	NUM
ap-2024	134	7	20	20	NUM
ap-2024	134	8	30	30	NUM
ap-2024	134	9	40	40	NUM
ap-2024	134	10	50	50	NUM
ap-2024	134	11	60	60	NUM
ap-2024	134	12	70	70	NUM
ap-2024	134	13	80	80	NUM
ap-2024	134	14	singular	singular	ADJ
ap-2024	134	15	values	value	NOUN
ap-2024	134	16	frequency	frequency	NOUN
ap-2024	135	1	[	[	X
ap-2024	135	2	rad	rad	PROPN
ap-2024	135	3	/	/	SYM
ap-2024	135	4	s	s	PART
ap-2024	135	5	]	]	X
ap-2024	135	6	s	s	VERB
ap-2024	135	7	in	in	ADP
ap-2024	135	8	g	g	PROPN
ap-2024	135	9	u	u	NOUN
ap-2024	135	10	la	la	PROPN
ap-2024	135	11	r	r	NOUN
ap-2024	135	12	v	v	PROPN
ap-2024	135	13	a	a	DET
ap-2024	135	14	lu	lu	NOUN
ap-2024	135	15	e	e	NOUN
ap-2024	135	16	s	s	X
ap-2024	136	1	[	[	PUNCT
ap-2024	136	2	d	d	PROPN
ap-2024	136	3	b	b	X
ap-2024	136	4	]	]	X
ap-2024	136	5	plant	plant	NOUN
ap-2024	136	6	singular	singular	ADJ
ap-2024	136	7	value	value	NOUN
ap-2024	136	8	desired	desire	VERB
ap-2024	136	9	singular	singular	ADJ
ap-2024	136	10	value	value	NOUN
ap-2024	136	11	designed	design	VERB
ap-2024	136	12	loop	loop	NOUN
ap-2024	136	13	gain	gain	VERB
ap-2024	136	14	singular	singular	ADJ
ap-2024	136	15	value	value	NOUN
ap-2024	136	16	s	s	PROPN
ap-2024	136	17	(	(	PUNCT
ap-2024	136	18	)	)	PUNCT
ap-2024	136	19	g	g	PROPN
ap-2024	136	20	s	s	PROPN
ap-2024	136	21	(	(	PUNCT
ap-2024	136	22	)	)	PUNCT
ap-2024	136	23	gk	gk	NOUN
ap-2024	136	24	figure	figure	NOUN
ap-2024	136	25	5	5	NUM
ap-2024	136	26	.	.	PUNCT
ap-2024	136	27	shaping	shape	VERB
ap-2024	136	28	the	the	DET
ap-2024	136	29	singular	singular	ADJ
ap-2024	136	30	value	value	NOUN
ap-2024	136	31	of	of	ADP
ap-2024	136	32	the	the	DET
ap-2024	136	33	singleinput	singleinput	ADJ
ap-2024	136	34	single	single	ADJ
ap-2024	136	35	-	-	PUNCT
ap-2024	136	36	output	output	NOUN
ap-2024	136	37	(	(	PUNCT
ap-2024	136	38	siso	siso	NOUN
ap-2024	136	39	)	)	PUNCT
ap-2024	136	40	system	system	NOUN
ap-2024	136	41	.	.	PUNCT
ap-2024	137	1	minimal	minimal	ADJ
ap-2024	137	2	realization	realization	NOUN
ap-2024	137	3	of	of	ADP
ap-2024	137	4	plant	plant	NOUN
ap-2024	137	5	g.	g.	NOUN
ap-2024	137	6	then	then	ADV
ap-2024	137	7	,	,	PUNCT
ap-2024	137	8	the	the	DET
ap-2024	137	9	suboptimal	suboptimal	ADJ
ap-2024	137	10	h∞	h∞	X
ap-2024	137	11	controller	controller	NOUN
ap-2024	137	12	k	k	PROPN
ap-2024	137	13	can	can	AUX
ap-2024	137	14	be	be	AUX
ap-2024	137	15	computed	compute	VERB
ap-2024	137	16	by	by	ADP
ap-2024	137	17	discrete	discrete	ADJ
ap-2024	137	18	algebraic	algebraic	PROPN
ap-2024	137	19	riccati	riccati	PROPN
ap-2024	137	20	equations	equation	NOUN
ap-2024	138	1	[	[	X
ap-2024	138	2	16	16	NUM
ap-2024	138	3	]	]	PUNCT
ap-2024	138	4	.	.	PUNCT
ap-2024	139	1	the	the	DET
ap-2024	139	2	loop	loop	NOUN
ap-2024	139	3	-	-	PUNCT
ap-2024	139	4	shaping	shape	VERB
ap-2024	139	5	objective	objective	NOUN
ap-2024	139	6	is	be	AUX
ap-2024	139	7	to	to	PART
ap-2024	139	8	design	design	VERB
ap-2024	139	9	a	a	DET
ap-2024	139	10	robust	robust	ADJ
ap-2024	139	11	controller	controller	NOUN
ap-2024	139	12	k	k	NOUN
ap-2024	139	13	,	,	PUNCT
ap-2024	139	14	so	so	SCONJ
ap-2024	139	15	that	that	SCONJ
ap-2024	139	16	σ(gk	σ(gk	NOUN
ap-2024	139	17	)	)	PUNCT
ap-2024	139	18	�	�	PROPN
ap-2024	139	19	1	1	NUM
ap-2024	139	20	or	or	CCONJ
ap-2024	139	21	|gk(jω)|	|gk(jω)|	ADJ
ap-2024	139	22	�	�	PROPN
ap-2024	139	23	1	1	NUM
ap-2024	139	24	(	(	PUNCT
ap-2024	139	25	for	for	ADP
ap-2024	139	26	a	a	DET
ap-2024	139	27	case	case	NOUN
ap-2024	139	28	of	of	ADP
ap-2024	139	29	siso	siso	NOUN
ap-2024	139	30	)	)	PUNCT
ap-2024	139	31	at	at	ADP
ap-2024	139	32	low	low	ADJ
ap-2024	139	33	frequencies	frequency	NOUN
ap-2024	139	34	(	(	PUNCT
ap-2024	139	35	minimizing	minimize	VERB
ap-2024	139	36	the	the	DET
ap-2024	139	37	effect	effect	NOUN
ap-2024	139	38	of	of	ADP
ap-2024	139	39	output	output	NOUN
ap-2024	139	40	disturbances	disturbance	NOUN
ap-2024	139	41	)	)	PUNCT
ap-2024	139	42	and	and	CCONJ
ap-2024	139	43	σ(gk	σ(gk	NOUN
ap-2024	139	44	)	)	PUNCT
ap-2024	139	45	�	�	PROPN
ap-2024	139	46	1	1	NUM
ap-2024	139	47	or	or	CCONJ
ap-2024	139	48	|gk(jω)|	|gk(jω)|	ADJ
ap-2024	139	49	�	�	PROPN
ap-2024	139	50	1	1	NUM
ap-2024	139	51	at	at	ADP
ap-2024	139	52	high	high	ADJ
ap-2024	139	53	frequencies	frequency	NOUN
ap-2024	139	54	(	(	PUNCT
ap-2024	139	55	minimizing	minimize	VERB
ap-2024	139	56	the	the	DET
ap-2024	139	57	effect	effect	NOUN
ap-2024	139	58	of	of	ADP
ap-2024	139	59	sensor	sensor	NOUN
ap-2024	139	60	noise	noise	NOUN
ap-2024	139	61	and	and	CCONJ
ap-2024	139	62	providing	provide	VERB
ap-2024	139	63	robustness	robustness	NOUN
ap-2024	139	64	for	for	ADP
ap-2024	139	65	additional	additional	ADJ
ap-2024	139	66	uncertainty	uncertainty	NOUN
ap-2024	139	67	)	)	PUNCT
ap-2024	139	68	.	.	PUNCT
ap-2024	140	1	the	the	DET
ap-2024	140	2	singular	singular	ADJ
ap-2024	140	3	value	value	NOUN
ap-2024	140	4	of	of	ADP
ap-2024	140	5	the	the	DET
ap-2024	140	6	open	open	ADJ
ap-2024	140	7	loop	loop	NOUN
ap-2024	140	8	gain	gain	NOUN
ap-2024	140	9	gk	gk	PROPN
ap-2024	140	10	is	be	AUX
ap-2024	140	11	shaped	shape	VERB
ap-2024	140	12	based	base	VERB
ap-2024	140	13	on	on	ADP
ap-2024	140	14	this	this	DET
ap-2024	140	15	design	design	NOUN
ap-2024	140	16	criterion	criterion	NOUN
ap-2024	140	17	.	.	PUNCT
ap-2024	141	1	based	base	VERB
ap-2024	141	2	on	on	ADP
ap-2024	141	3	the	the	DET
ap-2024	141	4	singular	singular	ADJ
ap-2024	141	5	value	value	NOUN
ap-2024	141	6	of	of	ADP
ap-2024	141	7	the	the	DET
ap-2024	141	8	plant	plant	NOUN
ap-2024	141	9	in	in	ADP
ap-2024	141	10	figure	figure	NOUN
ap-2024	141	11	5	5	NUM
ap-2024	141	12	,	,	PUNCT
ap-2024	141	13	the	the	DET
ap-2024	141	14	integral	integral	ADJ
ap-2024	141	15	action	action	NOUN
ap-2024	141	16	has	have	AUX
ap-2024	141	17	been	be	AUX
ap-2024	141	18	chosen	choose	VERB
ap-2024	141	19	to	to	PART
ap-2024	141	20	ensure	ensure	VERB
ap-2024	141	21	zero	zero	NUM
ap-2024	141	22	steady	steady	ADJ
ap-2024	141	23	-	-	PUNCT
ap-2024	141	24	state	state	NOUN
ap-2024	141	25	error	error	NOUN
ap-2024	141	26	.	.	PUNCT
ap-2024	142	1	in	in	ADP
ap-2024	142	2	addition	addition	NOUN
ap-2024	142	3	,	,	PUNCT
ap-2024	142	4	the	the	DET
ap-2024	142	5	cut	cut	VERB
ap-2024	142	6	-	-	PUNCT
ap-2024	142	7	off	off	ADP
ap-2024	142	8	frequency	frequency	NOUN
ap-2024	142	9	is	be	AUX
ap-2024	142	10	designed	design	VERB
ap-2024	142	11	to	to	PART
ap-2024	142	12	be	be	AUX
ap-2024	142	13	0.28	0.28	NUM
ap-2024	142	14	rad	rad	NOUN
ap-2024	142	15	/	/	SYM
ap-2024	142	16	s	s	PART
ap-2024	142	17	in	in	ADP
ap-2024	142	18	comparison	comparison	NOUN
ap-2024	142	19	with	with	ADP
ap-2024	142	20	a	a	DET
ap-2024	142	21	very	very	ADV
ap-2024	142	22	low	low	ADJ
ap-2024	142	23	cut	cut	NOUN
ap-2024	142	24	-	-	PUNCT
ap-2024	142	25	off	off	ADP
ap-2024	142	26	frequency	frequency	NOUN
ap-2024	142	27	at	at	ADP
ap-2024	142	28	0.03	0.03	NUM
ap-2024	142	29	rad	rad	PROPN
ap-2024	142	30	/	/	SYM
ap-2024	142	31	s	s	PROPN
ap-2024	142	32	of	of	ADP
ap-2024	142	33	the	the	DET
ap-2024	142	34	plant	plant	NOUN
ap-2024	142	35	.	.	PUNCT
ap-2024	143	1	in	in	ADP
ap-2024	143	2	this	this	DET
ap-2024	143	3	way	way	NOUN
ap-2024	143	4	,	,	PUNCT
ap-2024	143	5	the	the	DET
ap-2024	143	6	bandwidth	bandwidth	NOUN
ap-2024	143	7	is	be	AUX
ap-2024	143	8	increased	increase	VERB
ap-2024	143	9	by	by	ADP
ap-2024	143	10	a	a	DET
ap-2024	143	11	factor	factor	NOUN
ap-2024	143	12	of	of	ADP
ap-2024	143	13	approximately	approximately	ADV
ap-2024	143	14	10	10	NUM
ap-2024	143	15	times	time	NOUN
ap-2024	143	16	.	.	PUNCT
ap-2024	144	1	referring	refer	VERB
ap-2024	144	2	to	to	ADP
ap-2024	144	3	[	[	X
ap-2024	144	4	11	11	NUM
ap-2024	144	5	]	]	PUNCT
ap-2024	144	6	,	,	PUNCT
ap-2024	144	7	γ	γ	X
ap-2024	144	8	=	=	SYM
ap-2024	144	9	1.86	1.86	NUM
ap-2024	144	10	or	or	CCONJ
ap-2024	144	11	ε	ε	PROPN
ap-2024	144	12	=	=	SYM
ap-2024	144	13	0.5376	0.5376	PROPN
ap-2024	144	14	indicates	indicate	VERB
ap-2024	144	15	the	the	DET
ap-2024	144	16	allowable	allowable	ADJ
ap-2024	144	17	proportional	proportional	ADJ
ap-2024	144	18	uncertainty	uncertainty	NOUN
ap-2024	144	19	in	in	ADP
ap-2024	144	20	n	n	PROPN
ap-2024	144	21	and	and	CCONJ
ap-2024	144	22	m	m	PROPN
ap-2024	144	23	of	of	ADP
ap-2024	144	24	approximately	approximately	ADV
ap-2024	144	25	50	50	NUM
ap-2024	144	26	%	%	NOUN
ap-2024	144	27	in	in	ADP
ap-2024	144	28	the	the	DET
ap-2024	144	29	crossover	crossover	NOUN
ap-2024	144	30	frequency	frequency	NOUN
ap-2024	144	31	range	range	NOUN
ap-2024	144	32	of	of	ADP
ap-2024	144	33	the	the	DET
ap-2024	144	34	shaped	shape	VERB
ap-2024	144	35	plant	plant	NOUN
ap-2024	144	36	.	.	PUNCT
ap-2024	145	1	3.2	3.2	NUM
ap-2024	145	2	.	.	PUNCT
ap-2024	146	1	step	step	NOUN
ap-2024	146	2	response	response	NOUN
ap-2024	146	3	simulation	simulation	NOUN
ap-2024	146	4	a	a	DET
ap-2024	146	5	step	step	NOUN
ap-2024	146	6	response	response	NOUN
ap-2024	146	7	,	,	PUNCT
ap-2024	146	8	shown	show	VERB
ap-2024	146	9	in	in	ADP
ap-2024	146	10	figure	figure	NOUN
ap-2024	146	11	6	6	NUM
ap-2024	146	12	,	,	PUNCT
ap-2024	146	13	represents	represent	VERB
ap-2024	146	14	the	the	DET
ap-2024	146	15	control	control	NOUN
ap-2024	146	16	performance	performance	NOUN
ap-2024	146	17	of	of	ADP
ap-2024	146	18	the	the	DET
ap-2024	146	19	h∞	h∞	PROPN
ap-2024	146	20	loop	loop	NOUN
ap-2024	146	21	-	-	PUNCT
ap-2024	146	22	shaping	shape	VERB
ap-2024	146	23	controller	controller	NOUN
ap-2024	146	24	for	for	ADP
ap-2024	146	25	both	both	CCONJ
ap-2024	146	26	the	the	DET
ap-2024	146	27	linear	linear	ADJ
ap-2024	146	28	affine	affine	NOUN
ap-2024	146	29	and	and	CCONJ
ap-2024	146	30	the	the	DET
ap-2024	146	31	nonlinear	nonlinear	PROPN
ap-2024	146	32	hammerstein	hammerstein	PROPN
ap-2024	146	33	models	model	NOUN
ap-2024	146	34	.	.	PUNCT
ap-2024	147	1	the	the	DET
ap-2024	147	2	etco2	etco2	NOUN
ap-2024	147	3	is	be	AUX
ap-2024	147	4	controlled	control	VERB
ap-2024	147	5	to	to	PART
ap-2024	147	6	have	have	VERB
ap-2024	147	7	a	a	DET
ap-2024	147	8	target	target	NOUN
ap-2024	147	9	of	of	ADP
ap-2024	147	10	34mmhg	34mmhg	NUM
ap-2024	147	11	before	before	ADP
ap-2024	147	12	t	t	PROPN
ap-2024	147	13	=	=	SYM
ap-2024	147	14	0	0	NUM
ap-2024	147	15	s	s	PART
ap-2024	147	16	and	and	CCONJ
ap-2024	147	17	is	be	AUX
ap-2024	147	18	forced	force	VERB
ap-2024	147	19	to	to	ADP
ap-2024	147	20	35mmhg	35mmhg	NUM
ap-2024	147	21	after	after	ADP
ap-2024	147	22	t	t	PROPN
ap-2024	147	23	=	=	SYM
ap-2024	147	24	0	0	NUM
ap-2024	147	25	s.	s.	PROPN
ap-2024	147	26	in	in	ADP
ap-2024	147	27	both	both	DET
ap-2024	147	28	models	model	NOUN
ap-2024	147	29	,	,	PUNCT
ap-2024	147	30	rise	rise	NOUN
ap-2024	147	31	time	time	NOUN
ap-2024	147	32	is	be	AUX
ap-2024	147	33	14	14	NUM
ap-2024	147	34	s	s	PART
ap-2024	147	35	and	and	CCONJ
ap-2024	147	36	settling	settling	NOUN
ap-2024	147	37	time	time	NOUN
ap-2024	147	38	is	be	AUX
ap-2024	147	39	within	within	ADP
ap-2024	147	40	60	60	NUM
ap-2024	147	41	s.	s.	NOUN
ap-2024	147	42	the	the	DET
ap-2024	147	43	response	response	NOUN
ap-2024	147	44	has	have	VERB
ap-2024	147	45	no	no	DET
ap-2024	147	46	steady	steady	ADJ
ap-2024	147	47	-	-	PUNCT
ap-2024	147	48	state	state	NOUN
ap-2024	147	49	error	error	NOUN
ap-2024	147	50	.	.	PUNCT
ap-2024	148	1	the	the	DET
ap-2024	148	2	robust	robust	ADJ
ap-2024	148	3	h∞	h∞	X
ap-2024	148	4	loop	loop	NOUN
ap-2024	148	5	-	-	PUNCT
ap-2024	148	6	shaping	shape	VERB
ap-2024	148	7	controller	controller	NOUN
ap-2024	148	8	gives	give	VERB
ap-2024	148	9	a	a	DET
ap-2024	148	10	good	good	ADJ
ap-2024	148	11	transient	transient	NOUN
ap-2024	148	12	and	and	CCONJ
ap-2024	148	13	steady	steady	ADJ
ap-2024	148	14	-	-	PUNCT
ap-2024	148	15	state	state	NOUN
ap-2024	148	16	performance	performance	NOUN
ap-2024	148	17	for	for	ADP
ap-2024	148	18	the	the	DET
ap-2024	148	19	linear	linear	ADJ
ap-2024	148	20	affine	affine	NOUN
ap-2024	148	21	and	and	CCONJ
ap-2024	148	22	the	the	DET
ap-2024	148	23	nonlinear	nonlinear	PROPN
ap-2024	148	24	hammerstein	hammerstein	PROPN
ap-2024	148	25	models	model	NOUN
ap-2024	148	26	.	.	PUNCT
ap-2024	149	1	for	for	ADP
ap-2024	149	2	all	all	DET
ap-2024	149	3	model	model	NOUN
ap-2024	149	4	parameters	parameter	NOUN
ap-2024	149	5	,	,	PUNCT
ap-2024	149	6	a	a	DET
ap-2024	149	7	satisfied	satisfied	ADJ
ap-2024	149	8	step	step	NOUN
ap-2024	149	9	response	response	NOUN
ap-2024	149	10	can	can	AUX
ap-2024	149	11	also	also	ADV
ap-2024	149	12	be	be	AUX
ap-2024	149	13	achieved	achieve	VERB
ap-2024	149	14	with	with	ADP
ap-2024	149	15	a	a	DET
ap-2024	149	16	parameter	parameter	NOUN
ap-2024	149	17	uncertainty	uncertainty	NOUN
ap-2024	149	18	of	of	ADP
ap-2024	149	19	about	about	ADV
ap-2024	149	20	12	12	NUM
ap-2024	149	21	%	%	NOUN
ap-2024	149	22	.	.	PUNCT
ap-2024	150	1	therefore	therefore	ADV
ap-2024	150	2	,	,	PUNCT
ap-2024	150	3	the	the	DET
ap-2024	150	4	controller	controller	NOUN
ap-2024	150	5	is	be	AUX
ap-2024	150	6	robust	robust	ADJ
ap-2024	150	7	in	in	ADP
ap-2024	150	8	coping	cope	VERB
ap-2024	150	9	with	with	ADP
ap-2024	150	10	model	model	NOUN
ap-2024	150	11	and	and	CCONJ
ap-2024	150	12	parameter	parameter	NOUN
ap-2024	150	13	uncertainty	uncertainty	NOUN
ap-2024	150	14	,	,	PUNCT
ap-2024	150	15	and	and	CCONJ
ap-2024	150	16	with	with	ADP
ap-2024	150	17	disturbance	disturbance	NOUN
ap-2024	150	18	.	.	PUNCT
ap-2024	151	1	898	898	NUM
ap-2024	151	2	vol	vol	NOUN
ap-2024	151	3	.	.	PUNCT
ap-2024	152	1	53	53	NUM
ap-2024	152	2	no	no	NOUN
ap-2024	152	3	.	.	PUNCT
ap-2024	153	1	6/2013	6/2013	NUM
ap-2024	153	2	robust	robust	ADJ
ap-2024	153	3	control	control	NOUN
ap-2024	153	4	of	of	ADP
ap-2024	153	5	end	end	NOUN
ap-2024	153	6	-	-	PUNCT
ap-2024	153	7	tidal	tidal	ADJ
ap-2024	153	8	co2	co2	NOUN
ap-2024	153	9	33	33	NUM
ap-2024	153	10	34	34	NUM
ap-2024	153	11	35	35	NUM
ap-2024	153	12	36	36	NUM
ap-2024	153	13	e	e	NOUN
ap-2024	153	14	tc	tc	NOUN
ap-2024	153	15	o	o	NOUN
ap-2024	153	16	2	2	NUM
ap-2024	154	1	[	[	X
ap-2024	154	2	m	m	VERB
ap-2024	154	3	m	m	VERB
ap-2024	154	4	h	h	NOUN
ap-2024	154	5	g	g	NOUN
ap-2024	154	6	]	]	PUNCT
ap-2024	154	7	h	h	PROPN
ap-2024	154	8	∞	∞	PROPN
ap-2024	154	9	loop	loop	NOUN
ap-2024	154	10	-	-	PUNCT
ap-2024	154	11	shaping	shape	VERB
ap-2024	154	12	controller	controller	NOUN
ap-2024	154	13	for	for	ADP
ap-2024	154	14	linear	linear	PROPN
ap-2024	154	15	affine	affine	NOUN
ap-2024	154	16	model	model	NOUN
ap-2024	154	17	0	0	NUM
ap-2024	154	18	10	10	NUM
ap-2024	154	19	20	20	NUM
ap-2024	154	20	30	30	NUM
ap-2024	154	21	40	40	NUM
ap-2024	154	22	50	50	NUM
ap-2024	154	23	60	60	NUM
ap-2024	154	24	33	33	NUM
ap-2024	154	25	34	34	NUM
ap-2024	154	26	35	35	NUM
ap-2024	154	27	36	36	NUM
ap-2024	154	28	time	time	NOUN
ap-2024	155	1	[	[	X
ap-2024	155	2	s	s	X
ap-2024	155	3	]	]	X
ap-2024	155	4	e	e	X
ap-2024	155	5	tc	tc	NOUN
ap-2024	155	6	o	o	NOUN
ap-2024	155	7	2	2	NUM
ap-2024	155	8	[	[	PUNCT
ap-2024	155	9	m	m	VERB
ap-2024	155	10	m	m	VERB
ap-2024	155	11	h	h	NOUN
ap-2024	155	12	g	g	NOUN
ap-2024	155	13	]	]	PUNCT
ap-2024	155	14	h	h	PROPN
ap-2024	155	15	loop	loop	NOUN
ap-2024	155	16	-	-	PUNCT
ap-2024	155	17	shaping	shape	VERB
ap-2024	155	18	controller	controller	NOUN
ap-2024	155	19	for	for	ADP
ap-2024	155	20	hammerstein	hammerstein	PROPN
ap-2024	155	21	model	model	PROPN
ap-2024	155	22	∞	∞	PROPN
ap-2024	155	23	-10	-10	PROPN
ap-2024	155	24	-	-	PUNCT
ap-2024	155	25	20	20	NUM
ap-2024	155	26	figure	figure	NOUN
ap-2024	155	27	6	6	NUM
ap-2024	155	28	.	.	PUNCT
ap-2024	155	29	step	step	NOUN
ap-2024	155	30	response	response	NOUN
ap-2024	155	31	of	of	ADP
ap-2024	155	32	the	the	DET
ap-2024	155	33	h∞	h∞	PROPN
ap-2024	155	34	loop	loop	NOUN
ap-2024	155	35	-	-	PUNCT
ap-2024	155	36	shaping	shape	VERB
ap-2024	155	37	controller	controller	NOUN
ap-2024	155	38	for	for	ADP
ap-2024	155	39	the	the	DET
ap-2024	155	40	linear	linear	ADJ
ap-2024	155	41	affine	affine	NOUN
ap-2024	155	42	and	and	CCONJ
ap-2024	155	43	the	the	DET
ap-2024	155	44	hammerstein	hammerstein	PROPN
ap-2024	155	45	models	model	NOUN
ap-2024	155	46	.	.	PUNCT
ap-2024	156	1	0	0	NUM
ap-2024	157	1	20	20	NUM
ap-2024	157	2	40	40	NUM
ap-2024	157	3	60	60	NUM
ap-2024	157	4	80	80	NUM
ap-2024	157	5	100	100	NUM
ap-2024	157	6	120	120	NUM
ap-2024	157	7	140	140	NUM
ap-2024	157	8	160	160	NUM
ap-2024	157	9	180	180	NUM
ap-2024	157	10	200	200	NUM
ap-2024	157	11	220	220	NUM
ap-2024	157	12	32	32	NUM
ap-2024	157	13	34	34	NUM
ap-2024	157	14	36	36	NUM
ap-2024	157	15	38	38	NUM
ap-2024	157	16	40	40	NUM
ap-2024	157	17	42	42	NUM
ap-2024	157	18	time	time	NOUN
ap-2024	158	1	[	[	X
ap-2024	158	2	s	s	X
ap-2024	158	3	]	]	X
ap-2024	158	4	e	e	X
ap-2024	158	5	tc	tc	NOUN
ap-2024	158	6	o	o	NOUN
ap-2024	158	7	2	2	NUM
ap-2024	159	1	[	[	X
ap-2024	159	2	m	m	VERB
ap-2024	159	3	m	m	VERB
ap-2024	159	4	h	h	ADJ
ap-2024	159	5	g	g	NOUN
ap-2024	159	6	]	]	PUNCT
ap-2024	159	7	figure	figure	NOUN
ap-2024	159	8	7	7	NUM
ap-2024	159	9	.	.	PUNCT
ap-2024	160	1	details	detail	NOUN
ap-2024	160	2	of	of	ADP
ap-2024	160	3	controller	controller	NOUN
ap-2024	160	4	performance	performance	NOUN
ap-2024	160	5	obtained	obtain	VERB
ap-2024	160	6	from	from	ADP
ap-2024	160	7	a	a	DET
ap-2024	160	8	human	human	ADJ
ap-2024	160	9	volunteer	volunteer	NOUN
ap-2024	160	10	.	.	PUNCT
ap-2024	161	1	3.3	3.3	NUM
ap-2024	161	2	.	.	PUNCT
ap-2024	161	3	evaluation	evaluation	NOUN
ap-2024	161	4	of	of	ADP
ap-2024	161	5	closed	closed	ADJ
ap-2024	161	6	-	-	PUNCT
ap-2024	161	7	loop	loop	NOUN
ap-2024	161	8	control	control	NOUN
ap-2024	161	9	ventilation	ventilation	NOUN
ap-2024	161	10	after	after	ADP
ap-2024	161	11	simulating	simulate	VERB
ap-2024	161	12	the	the	DET
ap-2024	161	13	controller	controller	NOUN
ap-2024	161	14	performance	performance	NOUN
ap-2024	161	15	,	,	PUNCT
ap-2024	161	16	closedloop	closedloop	NOUN
ap-2024	161	17	control	control	NOUN
ap-2024	161	18	ventilation	ventilation	NOUN
ap-2024	161	19	is	be	AUX
ap-2024	161	20	implemented	implement	VERB
ap-2024	161	21	and	and	CCONJ
ap-2024	161	22	tested	test	VERB
ap-2024	161	23	on	on	ADP
ap-2024	161	24	a	a	DET
ap-2024	161	25	human	human	ADJ
ap-2024	161	26	volunteer	volunteer	NOUN
ap-2024	161	27	.	.	PUNCT
ap-2024	162	1	the	the	DET
ap-2024	162	2	result	result	NOUN
ap-2024	162	3	of	of	ADP
ap-2024	162	4	the	the	DET
ap-2024	162	5	control	control	NOUN
ap-2024	162	6	performance	performance	NOUN
ap-2024	162	7	is	be	AUX
ap-2024	162	8	presented	present	VERB
ap-2024	162	9	in	in	ADP
ap-2024	162	10	figure	figure	NOUN
ap-2024	162	11	7	7	NUM
ap-2024	162	12	.	.	PUNCT
ap-2024	163	1	robustness	robustness	NOUN
ap-2024	163	2	with	with	ADP
ap-2024	163	3	a	a	DET
ap-2024	163	4	step	step	NOUN
ap-2024	163	5	response	response	NOUN
ap-2024	163	6	can	can	AUX
ap-2024	163	7	be	be	AUX
ap-2024	163	8	achieved	achieve	VERB
ap-2024	163	9	for	for	ADP
ap-2024	163	10	the	the	DET
ap-2024	163	11	required	require	VERB
ap-2024	163	12	etco2	etco2	NOUN
ap-2024	163	13	at	at	ADP
ap-2024	163	14	35mmhg	35mmhg	NUM
ap-2024	163	15	under	under	ADP
ap-2024	163	16	real	real	ADJ
ap-2024	163	17	disturbance	disturbance	NOUN
ap-2024	163	18	and	and	CCONJ
ap-2024	163	19	measurement	measurement	NOUN
ap-2024	163	20	uncertainty	uncertainty	NOUN
ap-2024	163	21	.	.	PUNCT
ap-2024	164	1	within	within	ADP
ap-2024	164	2	approximately	approximately	ADV
ap-2024	164	3	60	60	NUM
ap-2024	164	4	s	s	NOUN
ap-2024	164	5	,	,	PUNCT
ap-2024	164	6	the	the	DET
ap-2024	164	7	target	target	NOUN
ap-2024	164	8	etco2	etco2	NOUN
ap-2024	164	9	is	be	AUX
ap-2024	164	10	satisfied	satisfied	ADJ
ap-2024	164	11	.	.	PUNCT
ap-2024	165	1	the	the	DET
ap-2024	165	2	response	response	NOUN
ap-2024	165	3	lies	lie	VERB
ap-2024	165	4	in	in	ADP
ap-2024	165	5	an	an	DET
ap-2024	165	6	acceptable	acceptable	ADJ
ap-2024	165	7	range	range	NOUN
ap-2024	165	8	for	for	ADP
ap-2024	165	9	clinical	clinical	ADJ
ap-2024	165	10	application	application	NOUN
ap-2024	165	11	.	.	PUNCT
ap-2024	166	1	it	it	PRON
ap-2024	166	2	should	should	AUX
ap-2024	166	3	be	be	AUX
ap-2024	166	4	emphasized	emphasize	VERB
ap-2024	166	5	that	that	SCONJ
ap-2024	166	6	a	a	DET
ap-2024	166	7	relatively	relatively	ADV
ap-2024	166	8	good	good	ADJ
ap-2024	166	9	performance	performance	NOUN
ap-2024	166	10	can	can	AUX
ap-2024	166	11	be	be	AUX
ap-2024	166	12	obtained	obtain	VERB
ap-2024	166	13	by	by	ADP
ap-2024	166	14	the	the	DET
ap-2024	166	15	robust	robust	ADJ
ap-2024	166	16	h∞	h∞	X
ap-2024	166	17	loop	loop	NOUN
ap-2024	166	18	-	-	PUNCT
ap-2024	166	19	shaping	shaping	NOUN
ap-2024	166	20	controller	controller	NOUN
ap-2024	166	21	.	.	PUNCT
ap-2024	167	1	4	4	NUM
ap-2024	167	2	.	.	X
ap-2024	167	3	discussion	discussion	NOUN
ap-2024	167	4	for	for	ADP
ap-2024	167	5	an	an	DET
ap-2024	167	6	abnormal	abnormal	ADJ
ap-2024	167	7	lung	lung	NOUN
ap-2024	167	8	condition	condition	NOUN
ap-2024	167	9	,	,	PUNCT
ap-2024	167	10	like	like	ADP
ap-2024	167	11	acute	acute	ADJ
ap-2024	167	12	respiratory	respiratory	ADJ
ap-2024	167	13	distress	distress	NOUN
ap-2024	167	14	syndrome	syndrome	NOUN
ap-2024	167	15	(	(	PUNCT
ap-2024	167	16	ards	ard	NOUN
ap-2024	167	17	)	)	PUNCT
ap-2024	167	18	,	,	PUNCT
ap-2024	167	19	etco2	etco2	PROPN
ap-2024	167	20	does	do	AUX
ap-2024	167	21	not	not	PART
ap-2024	167	22	correspond	correspond	VERB
ap-2024	167	23	to	to	ADP
ap-2024	167	24	paco2	paco2	PROPN
ap-2024	167	25	and	and	CCONJ
ap-2024	167	26	therefore	therefore	ADV
ap-2024	167	27	invasive	invasive	ADJ
ap-2024	167	28	measurement	measurement	NOUN
ap-2024	167	29	of	of	ADP
ap-2024	167	30	paco2	paco2	PROPN
ap-2024	167	31	is	be	AUX
ap-2024	167	32	required	require	VERB
ap-2024	167	33	.	.	PUNCT
ap-2024	168	1	therefore	therefore	ADV
ap-2024	168	2	,	,	PUNCT
ap-2024	168	3	our	our	PRON
ap-2024	168	4	focus	focus	NOUN
ap-2024	168	5	of	of	ADP
ap-2024	168	6	identification	identification	NOUN
ap-2024	168	7	and	and	CCONJ
ap-2024	168	8	control	control	NOUN
ap-2024	168	9	design	design	NOUN
ap-2024	168	10	for	for	ADP
ap-2024	168	11	etco2	etco2	NOUN
ap-2024	168	12	is	be	AUX
ap-2024	168	13	only	only	ADV
ap-2024	168	14	valid	valid	ADJ
ap-2024	168	15	for	for	ADP
ap-2024	168	16	patients	patient	NOUN
ap-2024	168	17	after	after	ADP
ap-2024	168	18	treatment	treatment	NOUN
ap-2024	168	19	with	with	ADP
ap-2024	168	20	the	the	DET
ap-2024	168	21	open	open	ADJ
ap-2024	168	22	lung	lung	NOUN
ap-2024	168	23	recruitment	recruitment	NOUN
ap-2024	168	24	maneuver	maneuver	NOUN
ap-2024	168	25	[	[	X
ap-2024	168	26	17	17	NUM
ap-2024	168	27	]	]	PUNCT
ap-2024	168	28	,	,	PUNCT
ap-2024	168	29	or	or	CCONJ
ap-2024	168	30	for	for	ADP
ap-2024	168	31	patients	patient	NOUN
ap-2024	168	32	whose	whose	DET
ap-2024	168	33	etco2	etco2	ADJ
ap-2024	168	34	reading	reading	NOUN
ap-2024	168	35	appropriately	appropriately	ADV
ap-2024	168	36	reflects	reflect	VERB
ap-2024	168	37	the	the	DET
ap-2024	168	38	true	true	ADJ
ap-2024	168	39	paco2	paco2	NOUN
ap-2024	168	40	(	(	PUNCT
ap-2024	168	41	as	as	ADP
ap-2024	168	42	,	,	PUNCT
ap-2024	168	43	for	for	ADP
ap-2024	168	44	example	example	NOUN
ap-2024	168	45	,	,	PUNCT
ap-2024	168	46	in	in	ADP
ap-2024	168	47	chronic	chronic	ADJ
ap-2024	168	48	obstructive	obstructive	ADJ
ap-2024	168	49	pulmonary	pulmonary	ADJ
ap-2024	168	50	disease	disease	NOUN
ap-2024	168	51	)	)	PUNCT
ap-2024	169	1	[	[	X
ap-2024	169	2	18	18	NUM
ap-2024	169	3	]	]	PUNCT
ap-2024	169	4	.	.	PUNCT
ap-2024	170	1	in	in	ADP
ap-2024	170	2	such	such	ADJ
ap-2024	170	3	cases	case	NOUN
ap-2024	170	4	,	,	PUNCT
ap-2024	170	5	the	the	DET
ap-2024	170	6	mean	mean	ADJ
ap-2024	170	7	value	value	NOUN
ap-2024	170	8	of	of	ADP
ap-2024	170	9	co2	co2	NOUN
ap-2024	170	10	pressure	pressure	NOUN
ap-2024	170	11	in	in	ADP
ap-2024	170	12	arterial	arterial	ADJ
ap-2024	170	13	blood	blood	NOUN
ap-2024	170	14	(	(	PUNCT
ap-2024	170	15	paco2	paco2	PROPN
ap-2024	170	16	)	)	PUNCT
ap-2024	170	17	is	be	AUX
ap-2024	170	18	approximately	approximately	ADV
ap-2024	170	19	9mmhg	9mmhg	NUM
ap-2024	170	20	higher	high	ADJ
ap-2024	170	21	than	than	ADP
ap-2024	170	22	the	the	DET
ap-2024	170	23	value	value	NOUN
ap-2024	170	24	of	of	ADP
ap-2024	170	25	etco2	etco2	NOUN
ap-2024	170	26	and	and	CCONJ
ap-2024	170	27	the	the	DET
ap-2024	170	28	required	require	VERB
ap-2024	170	29	value	value	NOUN
ap-2024	170	30	of	of	ADP
ap-2024	170	31	etco2	etco2	NOUN
ap-2024	170	32	should	should	AUX
ap-2024	170	33	be	be	AUX
ap-2024	170	34	adapted	adapt	VERB
ap-2024	170	35	based	base	VERB
ap-2024	170	36	on	on	ADP
ap-2024	170	37	the	the	DET
ap-2024	170	38	calibration	calibration	NOUN
ap-2024	170	39	with	with	ADP
ap-2024	170	40	paco2	paco2	PROPN
ap-2024	170	41	,	,	PUNCT
ap-2024	170	42	which	which	PRON
ap-2024	170	43	can	can	AUX
ap-2024	170	44	be	be	AUX
ap-2024	170	45	obtained	obtain	VERB
ap-2024	170	46	from	from	ADP
ap-2024	170	47	blood	blood	NOUN
ap-2024	170	48	gas	gas	NOUN
ap-2024	170	49	analysis	analysis	NOUN
ap-2024	170	50	.	.	PUNCT
ap-2024	171	1	the	the	DET
ap-2024	171	2	second	second	ADJ
ap-2024	171	3	-	-	PUNCT
ap-2024	171	4	order	order	NOUN
ap-2024	171	5	model	model	NOUN
ap-2024	171	6	with	with	ADP
ap-2024	171	7	one	one	NUM
ap-2024	171	8	zero	zero	NUM
ap-2024	171	9	is	be	AUX
ap-2024	171	10	correlated	correlate	VERB
ap-2024	171	11	to	to	ADP
ap-2024	171	12	the	the	DET
ap-2024	171	13	pharmacological	pharmacological	ADJ
ap-2024	171	14	two	two	NUM
ap-2024	171	15	-	-	PUNCT
ap-2024	171	16	compartment	compartment	NOUN
ap-2024	171	17	model	model	NOUN
ap-2024	171	18	as	as	SCONJ
ap-2024	171	19	proposed	propose	VERB
ap-2024	171	20	in	in	ADP
ap-2024	171	21	[	[	X
ap-2024	171	22	7	7	NUM
ap-2024	171	23	]	]	PUNCT
ap-2024	171	24	.	.	PUNCT
ap-2024	172	1	the	the	DET
ap-2024	172	2	etco2	etco2	NOUN
ap-2024	172	3	represents	represent	VERB
ap-2024	172	4	the	the	DET
ap-2024	172	5	output	output	NOUN
ap-2024	172	6	from	from	ADP
ap-2024	172	7	the	the	DET
ap-2024	172	8	lung	lung	NOUN
ap-2024	172	9	compartment	compartment	NOUN
ap-2024	172	10	and	and	CCONJ
ap-2024	172	11	is	be	AUX
ap-2024	172	12	one	one	NUM
ap-2024	172	13	of	of	ADP
ap-2024	172	14	the	the	DET
ap-2024	172	15	state	state	NOUN
ap-2024	172	16	variables	variable	NOUN
ap-2024	172	17	in	in	ADP
ap-2024	172	18	the	the	DET
ap-2024	172	19	model	model	NOUN
ap-2024	172	20	.	.	PUNCT
ap-2024	173	1	zero	zero	NUM
ap-2024	173	2	position	position	NOUN
ap-2024	173	3	relies	rely	VERB
ap-2024	173	4	on	on	ADP
ap-2024	173	5	gas	gas	NOUN
ap-2024	173	6	transport	transport	NOUN
ap-2024	173	7	from	from	ADP
ap-2024	173	8	tissues	tissue	NOUN
ap-2024	173	9	to	to	ADP
ap-2024	173	10	the	the	DET
ap-2024	173	11	lung	lung	NOUN
ap-2024	173	12	.	.	PUNCT
ap-2024	174	1	our	our	PRON
ap-2024	174	2	findings	finding	NOUN
ap-2024	174	3	of	of	ADP
ap-2024	174	4	poles	pole	NOUN
ap-2024	174	5	and	and	CCONJ
ap-2024	174	6	zero	zero	NUM
ap-2024	174	7	positions	position	NOUN
ap-2024	174	8	based	base	VERB
ap-2024	174	9	on	on	ADP
ap-2024	174	10	animal	animal	NOUN
ap-2024	174	11	experiments	experiment	NOUN
ap-2024	174	12	correlate	correlate	VERB
ap-2024	174	13	well	well	ADV
ap-2024	174	14	with	with	ADP
ap-2024	174	15	the	the	DET
ap-2024	174	16	findings	finding	NOUN
ap-2024	174	17	derived	derive	VERB
ap-2024	174	18	from	from	ADP
ap-2024	174	19	18	18	NUM
ap-2024	174	20	patients	patient	NOUN
ap-2024	174	21	[	[	X
ap-2024	174	22	7	7	NUM
ap-2024	174	23	]	]	PUNCT
ap-2024	174	24	.	.	PUNCT
ap-2024	175	1	one	one	NUM
ap-2024	175	2	pole	pole	NOUN
ap-2024	175	3	is	be	AUX
ap-2024	175	4	located	locate	VERB
ap-2024	175	5	near	near	ADP
ap-2024	175	6	the	the	DET
ap-2024	175	7	origin	origin	NOUN
ap-2024	175	8	of	of	ADP
ap-2024	175	9	the	the	DET
ap-2024	175	10	unit	unit	NOUN
ap-2024	175	11	circle	circle	NOUN
ap-2024	175	12	and	and	CCONJ
ap-2024	175	13	another	another	DET
ap-2024	175	14	pole	pole	NOUN
ap-2024	175	15	is	be	AUX
ap-2024	175	16	near	near	ADP
ap-2024	175	17	the	the	DET
ap-2024	175	18	point	point	NOUN
ap-2024	175	19	(	(	PUNCT
ap-2024	175	20	1	1	NUM
ap-2024	175	21	,	,	PUNCT
ap-2024	175	22	0	0	NUM
ap-2024	175	23	)	)	PUNCT
ap-2024	175	24	in	in	ADP
ap-2024	175	25	the	the	DET
ap-2024	175	26	unit	unit	NOUN
ap-2024	175	27	circle	circle	NOUN
ap-2024	175	28	.	.	PUNCT
ap-2024	176	1	the	the	DET
ap-2024	176	2	identification	identification	NOUN
ap-2024	176	3	parameters	parameter	NOUN
ap-2024	176	4	are	be	AUX
ap-2024	176	5	subject	subject	ADJ
ap-2024	176	6	to	to	ADP
ap-2024	176	7	measuring	measure	VERB
ap-2024	176	8	errors	error	NOUN
ap-2024	176	9	due	due	ADP
ap-2024	176	10	to	to	ADP
ap-2024	176	11	the	the	DET
ap-2024	176	12	limitations	limitation	NOUN
ap-2024	176	13	of	of	ADP
ap-2024	176	14	capnography	capnography	NOUN
ap-2024	176	15	:	:	PUNCT
ap-2024	176	16	its	its	PRON
ap-2024	176	17	accuracy	accuracy	NOUN
ap-2024	176	18	for	for	ADP
ap-2024	176	19	etco2	etco2	ADJ
ap-2024	176	20	monitoring	monitoring	NOUN
ap-2024	176	21	is	be	AUX
ap-2024	176	22	±2mmhg	±2mmhg	PROPN
ap-2024	176	23	for	for	ADP
ap-2024	176	24	the	the	DET
ap-2024	176	25	0	0	NUM
ap-2024	176	26	–	–	PUNCT
ap-2024	176	27	40mmhg	40mmhg	NUM
ap-2024	176	28	range	range	NOUN
ap-2024	176	29	,	,	PUNCT
ap-2024	176	30	±5	±5	NOUN
ap-2024	176	31	%	%	NOUN
ap-2024	176	32	for	for	ADP
ap-2024	176	33	the	the	DET
ap-2024	176	34	41–70mmhg	41–70mmhg	NUM
ap-2024	176	35	range	range	NOUN
ap-2024	176	36	,	,	PUNCT
ap-2024	176	37	and	and	CCONJ
ap-2024	176	38	±8	±8	NUM
ap-2024	176	39	%	%	NOUN
ap-2024	176	40	for	for	ADP
ap-2024	176	41	the	the	DET
ap-2024	176	42	71–150mmhg	71–150mmhg	NUM
ap-2024	176	43	range	range	NOUN
ap-2024	176	44	,	,	PUNCT
ap-2024	176	45	and	and	CCONJ
ap-2024	176	46	the	the	DET
ap-2024	176	47	resolution	resolution	NOUN
ap-2024	176	48	is	be	AUX
ap-2024	176	49	1mmhg	1mmhg	NUM
ap-2024	176	50	[	[	SYM
ap-2024	176	51	14	14	NUM
ap-2024	176	52	]	]	PUNCT
ap-2024	176	53	.	.	PUNCT
ap-2024	177	1	therefore	therefore	ADV
ap-2024	177	2	,	,	PUNCT
ap-2024	177	3	the	the	DET
ap-2024	177	4	identified	identify	VERB
ap-2024	177	5	parameters	parameter	NOUN
ap-2024	177	6	will	will	AUX
ap-2024	177	7	not	not	PART
ap-2024	177	8	perfectly	perfectly	ADV
ap-2024	177	9	reflect	reflect	VERB
ap-2024	177	10	the	the	DET
ap-2024	177	11	underlying	underlie	VERB
ap-2024	177	12	parameters	parameter	NOUN
ap-2024	177	13	of	of	ADP
ap-2024	177	14	the	the	DET
ap-2024	177	15	plant	plant	NOUN
ap-2024	177	16	.	.	PUNCT
ap-2024	178	1	in	in	ADP
ap-2024	178	2	other	other	ADJ
ap-2024	178	3	words	word	NOUN
ap-2024	178	4	,	,	PUNCT
ap-2024	178	5	parameter	parameter	NOUN
ap-2024	178	6	uncertainty	uncertainty	NOUN
ap-2024	178	7	also	also	ADV
ap-2024	178	8	exists	exist	VERB
ap-2024	178	9	because	because	SCONJ
ap-2024	178	10	of	of	ADP
ap-2024	178	11	the	the	DET
ap-2024	178	12	limitations	limitation	NOUN
ap-2024	178	13	related	relate	VERB
ap-2024	178	14	to	to	ADP
ap-2024	178	15	the	the	DET
ap-2024	178	16	accuracy	accuracy	NOUN
ap-2024	178	17	and	and	CCONJ
ap-2024	178	18	resolution	resolution	NOUN
ap-2024	178	19	of	of	ADP
ap-2024	178	20	the	the	DET
ap-2024	178	21	measuring	measure	VERB
ap-2024	178	22	device	device	NOUN
ap-2024	178	23	itself	itself	PRON
ap-2024	178	24	.	.	PUNCT
ap-2024	179	1	considering	consider	VERB
ap-2024	179	2	the	the	DET
ap-2024	179	3	input	input	NOUN
ap-2024	179	4	applied	apply	VERB
ap-2024	179	5	to	to	ADP
ap-2024	179	6	the	the	DET
ap-2024	179	7	system	system	NOUN
ap-2024	179	8	,	,	PUNCT
ap-2024	179	9	mv	mv	PROPN
ap-2024	179	10	shows	show	VERB
ap-2024	179	11	a	a	DET
ap-2024	179	12	better	well	ADJ
ap-2024	179	13	result	result	NOUN
ap-2024	179	14	compared	compare	VERB
ap-2024	179	15	to	to	ADP
ap-2024	179	16	inverse	inverse	NOUN
ap-2024	179	17	minute	minute	NOUN
ap-2024	179	18	ventilation	ventilation	NOUN
ap-2024	179	19	(	(	PUNCT
ap-2024	179	20	imv	imv	PROPN
ap-2024	179	21	)	)	PUNCT
ap-2024	179	22	for	for	ADP
ap-2024	179	23	both	both	CCONJ
ap-2024	179	24	the	the	DET
ap-2024	179	25	linear	linear	ADJ
ap-2024	179	26	affine	affine	NOUN
ap-2024	179	27	and	and	CCONJ
ap-2024	179	28	the	the	DET
ap-2024	179	29	hammerstein	hammerstein	PROPN
ap-2024	179	30	model	model	PROPN
ap-2024	179	31	.	.	PUNCT
ap-2024	180	1	the	the	DET
ap-2024	180	2	design	design	NOUN
ap-2024	180	3	problem	problem	NOUN
ap-2024	180	4	is	be	AUX
ap-2024	180	5	simplified	simplify	VERB
ap-2024	180	6	to	to	PART
ap-2024	180	7	be	be	AUX
ap-2024	180	8	a	a	DET
ap-2024	180	9	siso	siso	NOUN
ap-2024	180	10	system	system	NOUN
ap-2024	180	11	by	by	ADP
ap-2024	180	12	regarding	regard	VERB
ap-2024	180	13	mv	mv	PROPN
ap-2024	180	14	as	as	ADP
ap-2024	180	15	the	the	DET
ap-2024	180	16	input	input	NOUN
ap-2024	180	17	and	and	CCONJ
ap-2024	180	18	etco2	etco2	NOUN
ap-2024	180	19	as	as	ADP
ap-2024	180	20	the	the	DET
ap-2024	180	21	output	output	NOUN
ap-2024	180	22	.	.	PUNCT
ap-2024	181	1	in	in	ADP
ap-2024	181	2	a	a	DET
ap-2024	181	3	pressure	pressure	NOUN
ap-2024	181	4	-	-	PUNCT
ap-2024	181	5	controlled	control	VERB
ap-2024	181	6	ventilation	ventilation	NOUN
ap-2024	181	7	mode	mode	NOUN
ap-2024	181	8	,	,	PUNCT
ap-2024	181	9	tidal	tidal	ADJ
ap-2024	181	10	volume	volume	NOUN
ap-2024	181	11	can	can	AUX
ap-2024	181	12	not	not	PART
ap-2024	181	13	be	be	AUX
ap-2024	181	14	directly	directly	ADV
ap-2024	181	15	adjusted	adjust	VERB
ap-2024	181	16	.	.	PUNCT
ap-2024	182	1	thus	thus	ADV
ap-2024	182	2	,	,	PUNCT
ap-2024	182	3	a	a	DET
ap-2024	182	4	pressure	pressure	NOUN
ap-2024	182	5	difference	difference	NOUN
ap-2024	182	6	should	should	AUX
ap-2024	182	7	be	be	AUX
ap-2024	182	8	changed	change	VERB
ap-2024	182	9	in	in	ADP
ap-2024	182	10	order	order	NOUN
ap-2024	182	11	to	to	PART
ap-2024	182	12	meet	meet	VERB
ap-2024	182	13	the	the	DET
ap-2024	182	14	required	require	VERB
ap-2024	182	15	tidal	tidal	ADJ
ap-2024	182	16	volume	volume	NOUN
ap-2024	182	17	.	.	PUNCT
ap-2024	183	1	the	the	DET
ap-2024	183	2	hammerstein	hammerstein	PROPN
ap-2024	183	3	model	model	NOUN
ap-2024	183	4	provided	provide	VERB
ap-2024	183	5	better	well	ADJ
ap-2024	183	6	numerical	numerical	ADJ
ap-2024	183	7	results	result	NOUN
ap-2024	183	8	compared	compare	VERB
ap-2024	183	9	with	with	ADP
ap-2024	183	10	the	the	DET
ap-2024	183	11	affine	affine	NOUN
ap-2024	183	12	model	model	NOUN
ap-2024	183	13	,	,	PUNCT
ap-2024	183	14	especially	especially	ADV
ap-2024	183	15	for	for	ADP
ap-2024	183	16	the	the	DET
ap-2024	183	17	validation	validation	NOUN
ap-2024	183	18	dataset	dataset	NOUN
ap-2024	183	19	(	(	PUNCT
ap-2024	183	20	table	table	NOUN
ap-2024	183	21	1	1	NUM
ap-2024	183	22	)	)	PUNCT
ap-2024	183	23	.	.	PUNCT
ap-2024	184	1	note	note	VERB
ap-2024	184	2	that	that	SCONJ
ap-2024	184	3	the	the	DET
ap-2024	184	4	hammerstein	hammerstein	PROPN
ap-2024	184	5	model	model	NOUN
ap-2024	184	6	has	have	AUX
ap-2024	184	7	been	be	AUX
ap-2024	184	8	successfully	successfully	ADV
ap-2024	184	9	applied	apply	VERB
ap-2024	184	10	in	in	ADP
ap-2024	184	11	several	several	ADJ
ap-2024	184	12	other	other	ADJ
ap-2024	184	13	biomedical	biomedical	ADJ
ap-2024	184	14	applications	application	NOUN
ap-2024	184	15	[	[	X
ap-2024	184	16	19	19	NUM
ap-2024	184	17	]	]	PUNCT
ap-2024	184	18	,	,	PUNCT
ap-2024	184	19	including	include	VERB
ap-2024	184	20	the	the	DET
ap-2024	184	21	stretch	stretch	ADJ
ap-2024	184	22	reflex	reflex	NOUN
ap-2024	184	23	emg	emg	NOUN
ap-2024	185	1	[	[	X
ap-2024	185	2	20	20	NUM
ap-2024	185	3	]	]	PUNCT
ap-2024	185	4	and	and	CCONJ
ap-2024	185	5	heart	heart	NOUN
ap-2024	185	6	rate	rate	NOUN
ap-2024	185	7	regulation	regulation	NOUN
ap-2024	185	8	[	[	X
ap-2024	185	9	21	21	NUM
ap-2024	185	10	]	]	PUNCT
ap-2024	185	11	.	.	PUNCT
ap-2024	186	1	in	in	ADP
ap-2024	186	2	our	our	PRON
ap-2024	186	3	clinical	clinical	ADJ
ap-2024	186	4	application	application	NOUN
ap-2024	186	5	,	,	PUNCT
ap-2024	186	6	the	the	DET
ap-2024	186	7	complex	complex	ADJ
ap-2024	186	8	nonlinear	nonlinear	ADJ
ap-2024	186	9	cardiopulmonary	cardiopulmonary	ADJ
ap-2024	186	10	system	system	NOUN
ap-2024	186	11	can	can	AUX
ap-2024	186	12	be	be	AUX
ap-2024	186	13	better	well	ADV
ap-2024	186	14	modeled	model	VERB
ap-2024	186	15	by	by	ADP
ap-2024	186	16	a	a	DET
ap-2024	186	17	hammerstein	hammerstein	PROPN
ap-2024	186	18	model	model	NOUN
ap-2024	186	19	than	than	ADP
ap-2024	186	20	by	by	ADP
ap-2024	186	21	an	an	DET
ap-2024	186	22	affine	affine	NOUN
ap-2024	186	23	model	model	NOUN
ap-2024	186	24	.	.	PUNCT
ap-2024	187	1	it	it	PRON
ap-2024	187	2	should	should	AUX
ap-2024	187	3	be	be	AUX
ap-2024	187	4	noted	note	VERB
ap-2024	187	5	that	that	SCONJ
ap-2024	187	6	the	the	DET
ap-2024	187	7	block	block	NOUN
ap-2024	187	8	-	-	PUNCT
ap-2024	187	9	oriented	orient	VERB
ap-2024	187	10	narmax	narmax	NOUN
ap-2024	187	11	models	model	NOUN
ap-2024	187	12	[	[	X
ap-2024	187	13	8	8	NUM
ap-2024	187	14	]	]	PUNCT
ap-2024	187	15	,	,	PUNCT
ap-2024	187	16	which	which	PRON
ap-2024	187	17	offer	offer	VERB
ap-2024	187	18	a	a	DET
ap-2024	187	19	modeling	modeling	NOUN
ap-2024	187	20	for	for	ADP
ap-2024	187	21	output	output	NOUN
ap-2024	187	22	multiplicities	multiplicity	NOUN
ap-2024	187	23	,	,	PUNCT
ap-2024	187	24	did	do	AUX
ap-2024	187	25	not	not	PART
ap-2024	187	26	give	give	VERB
ap-2024	187	27	acceptable	acceptable	ADJ
ap-2024	187	28	results	result	NOUN
ap-2024	187	29	when	when	SCONJ
ap-2024	187	30	they	they	PRON
ap-2024	187	31	were	be	AUX
ap-2024	187	32	tested	test	VERB
ap-2024	187	33	;	;	PUNCT
ap-2024	187	34	therefore	therefore	ADV
ap-2024	187	35	,	,	PUNCT
ap-2024	187	36	those	those	DET
ap-2024	187	37	results	result	NOUN
ap-2024	187	38	are	be	AUX
ap-2024	187	39	not	not	PART
ap-2024	187	40	presented	present	VERB
ap-2024	187	41	or	or	CCONJ
ap-2024	187	42	discussed	discuss	VERB
ap-2024	187	43	here	here	ADV
ap-2024	187	44	.	.	PUNCT
ap-2024	188	1	regarding	regard	VERB
ap-2024	188	2	patient	patient	ADJ
ap-2024	188	3	safety	safety	NOUN
ap-2024	188	4	,	,	PUNCT
ap-2024	188	5	mv	mv	PROPN
ap-2024	188	6	that	that	PRON
ap-2024	188	7	is	be	AUX
ap-2024	188	8	too	too	ADV
ap-2024	188	9	low	low	ADJ
ap-2024	188	10	leads	lead	NOUN
ap-2024	188	11	to	to	ADP
ap-2024	188	12	low	low	ADJ
ap-2024	188	13	oxygenation	oxygenation	NOUN
ap-2024	188	14	and	and	CCONJ
ap-2024	188	15	a	a	DET
ap-2024	188	16	risk	risk	NOUN
ap-2024	188	17	of	of	ADP
ap-2024	188	18	mortality	mortality	NOUN
ap-2024	188	19	.	.	PUNCT
ap-2024	189	1	on	on	ADP
ap-2024	189	2	the	the	DET
ap-2024	189	3	other	other	ADJ
ap-2024	189	4	hand	hand	NOUN
ap-2024	189	5	,	,	PUNCT
ap-2024	189	6	extremely	extremely	ADV
ap-2024	189	7	high	high	ADJ
ap-2024	189	8	mv	mv	PROPN
ap-2024	189	9	carries	carry	VERB
ap-2024	189	10	a	a	DET
ap-2024	189	11	high	high	ADJ
ap-2024	189	12	risk	risk	NOUN
ap-2024	189	13	of	of	ADP
ap-2024	189	14	trauma	trauma	NOUN
ap-2024	189	15	and	and	CCONJ
ap-2024	189	16	a	a	DET
ap-2024	189	17	possibility	possibility	NOUN
ap-2024	189	18	of	of	ADP
ap-2024	189	19	lung	lung	NOUN
ap-2024	189	20	damage	damage	NOUN
ap-2024	189	21	.	.	PUNCT
ap-2024	190	1	thus	thus	ADV
ap-2024	190	2	,	,	PUNCT
ap-2024	190	3	actuator	actuator	NOUN
ap-2024	190	4	saturation	saturation	NOUN
ap-2024	190	5	should	should	AUX
ap-2024	190	6	be	be	AUX
ap-2024	190	7	introduced	introduce	VERB
ap-2024	190	8	in	in	ADP
ap-2024	190	9	our	our	PRON
ap-2024	190	10	system	system	NOUN
ap-2024	190	11	design	design	NOUN
ap-2024	190	12	with	with	ADP
ap-2024	190	13	the	the	DET
ap-2024	190	14	aid	aid	NOUN
ap-2024	190	15	of	of	ADP
ap-2024	190	16	an	an	DET
ap-2024	190	17	anti	anti	ADJ
ap-2024	190	18	-	-	ADJ
ap-2024	190	19	windup	windup	ADJ
ap-2024	190	20	technique	technique	NOUN
ap-2024	190	21	and	and	CCONJ
ap-2024	190	22	should	should	AUX
ap-2024	190	23	be	be	AUX
ap-2024	190	24	considered	consider	VERB
ap-2024	190	25	for	for	ADP
ap-2024	190	26	future	future	ADJ
ap-2024	190	27	research	research	NOUN
ap-2024	190	28	work	work	NOUN
ap-2024	190	29	.	.	PUNCT
ap-2024	191	1	5	5	X
ap-2024	191	2	.	.	X
ap-2024	191	3	conclusion	conclusion	NOUN
ap-2024	191	4	in	in	ADP
ap-2024	191	5	a	a	DET
ap-2024	191	6	clinical	clinical	ADJ
ap-2024	191	7	application	application	NOUN
ap-2024	191	8	,	,	PUNCT
ap-2024	191	9	etco2	etco2	PROPN
ap-2024	191	10	is	be	AUX
ap-2024	191	11	required	require	VERB
ap-2024	191	12	to	to	PART
ap-2024	191	13	be	be	AUX
ap-2024	191	14	feedback	feedback	NOUN
ap-2024	191	15	-	-	PUNCT
ap-2024	191	16	controlled	control	VERB
ap-2024	191	17	to	to	ADP
ap-2024	191	18	a	a	DET
ap-2024	191	19	certain	certain	ADJ
ap-2024	191	20	value	value	NOUN
ap-2024	191	21	to	to	PART
ap-2024	191	22	minimize	minimize	VERB
ap-2024	191	23	the	the	DET
ap-2024	191	24	risk	risk	NOUN
ap-2024	191	25	of	of	ADP
ap-2024	191	26	hypercapnia	hypercapnia	NOUN
ap-2024	191	27	or	or	CCONJ
ap-2024	191	28	hypocapnia	hypocapnia	NOUN
ap-2024	191	29	.	.	PUNCT
ap-2024	192	1	to	to	PART
ap-2024	192	2	realize	realize	VERB
ap-2024	192	3	this	this	DET
ap-2024	192	4	task	task	NOUN
ap-2024	192	5	,	,	PUNCT
ap-2024	192	6	we	we	PRON
ap-2024	192	7	propose	propose	VERB
ap-2024	192	8	a	a	DET
ap-2024	192	9	model	model	NOUN
ap-2024	192	10	-	-	PUNCT
ap-2024	192	11	based	base	VERB
ap-2024	192	12	approach	approach	NOUN
ap-2024	192	13	by	by	ADP
ap-2024	192	14	899	899	NUM
ap-2024	192	15	anake	anake	NOUN
ap-2024	192	16	pomprapa	pomprapa	NOUN
ap-2024	192	17	,	,	PUNCT
ap-2024	192	18	berno	berno	ADJ
ap-2024	192	19	misgeld	misgeld	PROPN
ap-2024	193	1	et	et	PROPN
ap-2024	193	2	al	al	PROPN
ap-2024	193	3	.	.	PROPN
ap-2024	193	4	acta	acta	PROPN
ap-2024	193	5	polytechnica	polytechnica	PROPN
ap-2024	193	6	identifying	identify	VERB
ap-2024	193	7	the	the	DET
ap-2024	193	8	model	model	NOUN
ap-2024	193	9	parameters	parameter	NOUN
ap-2024	193	10	of	of	ADP
ap-2024	193	11	a	a	DET
ap-2024	193	12	complex	complex	ADJ
ap-2024	193	13	nonlinear	nonlinear	ADJ
ap-2024	193	14	cardiopulmonary	cardiopulmonary	ADJ
ap-2024	193	15	system	system	NOUN
ap-2024	193	16	using	use	VERB
ap-2024	193	17	a	a	DET
ap-2024	193	18	block	block	NOUN
ap-2024	193	19	-	-	PUNCT
ap-2024	193	20	oriented	orient	VERB
ap-2024	193	21	structure	structure	NOUN
ap-2024	193	22	with	with	ADP
ap-2024	193	23	the	the	DET
ap-2024	193	24	linear	linear	ADJ
ap-2024	193	25	affine	affine	NOUN
ap-2024	193	26	and	and	CCONJ
ap-2024	193	27	the	the	DET
ap-2024	193	28	hammerstein	hammerstein	PROPN
ap-2024	193	29	models	model	NOUN
ap-2024	193	30	.	.	PUNCT
ap-2024	194	1	a	a	DET
ap-2024	194	2	robust	robust	ADJ
ap-2024	194	3	control	control	NOUN
ap-2024	194	4	design	design	NOUN
ap-2024	194	5	was	be	AUX
ap-2024	194	6	implemented	implement	VERB
ap-2024	194	7	using	use	VERB
ap-2024	194	8	the	the	DET
ap-2024	194	9	h∞	h∞	PROPN
ap-2024	194	10	loop	loop	NOUN
ap-2024	194	11	-	-	PUNCT
ap-2024	194	12	shaping	shape	VERB
ap-2024	194	13	approach	approach	NOUN
ap-2024	194	14	based	base	VERB
ap-2024	194	15	on	on	ADP
ap-2024	194	16	the	the	DET
ap-2024	194	17	derived	derive	VERB
ap-2024	194	18	affine	affine	NOUN
ap-2024	194	19	model	model	NOUN
ap-2024	194	20	.	.	PUNCT
ap-2024	195	1	the	the	DET
ap-2024	195	2	simulation	simulation	NOUN
ap-2024	195	3	results	result	NOUN
ap-2024	195	4	indicate	indicate	VERB
ap-2024	195	5	a	a	DET
ap-2024	195	6	good	good	ADJ
ap-2024	195	7	control	control	NOUN
ap-2024	195	8	performance	performance	NOUN
ap-2024	195	9	of	of	ADP
ap-2024	195	10	the	the	DET
ap-2024	195	11	h∞	h∞	PROPN
ap-2024	195	12	loop	loop	NOUN
ap-2024	195	13	-	-	PUNCT
ap-2024	195	14	shaping	shape	VERB
ap-2024	195	15	controller	controller	NOUN
ap-2024	195	16	for	for	ADP
ap-2024	195	17	both	both	CCONJ
ap-2024	195	18	the	the	DET
ap-2024	195	19	linear	linear	ADJ
ap-2024	195	20	affine	affine	NOUN
ap-2024	195	21	and	and	CCONJ
ap-2024	195	22	the	the	DET
ap-2024	195	23	nonlinear	nonlinear	PROPN
ap-2024	195	24	hammerstein	hammerstein	PROPN
ap-2024	195	25	models	model	NOUN
ap-2024	195	26	,	,	PUNCT
ap-2024	195	27	including	include	VERB
ap-2024	195	28	possible	possible	ADJ
ap-2024	195	29	parameter	parameter	NOUN
ap-2024	195	30	variations	variation	NOUN
ap-2024	195	31	up	up	ADP
ap-2024	195	32	to	to	PART
ap-2024	195	33	12	12	NUM
ap-2024	195	34	%	%	NOUN
ap-2024	195	35	.	.	PUNCT
ap-2024	196	1	finally	finally	ADV
ap-2024	196	2	,	,	PUNCT
ap-2024	196	3	for	for	ADP
ap-2024	196	4	demonstration	demonstration	NOUN
ap-2024	196	5	purposes	purpose	NOUN
ap-2024	196	6	,	,	PUNCT
ap-2024	196	7	the	the	DET
ap-2024	196	8	controller	controller	NOUN
ap-2024	196	9	was	be	AUX
ap-2024	196	10	tested	test	VERB
ap-2024	196	11	in	in	ADP
ap-2024	196	12	a	a	DET
ap-2024	196	13	task	task	NOUN
ap-2024	196	14	to	to	PART
ap-2024	196	15	control	control	VERB
ap-2024	196	16	etco2	etco2	ADJ
ap-2024	196	17	in	in	ADP
ap-2024	196	18	a	a	DET
ap-2024	196	19	healthy	healthy	ADJ
ap-2024	196	20	volunteer	volunteer	NOUN
ap-2024	196	21	and	and	CCONJ
ap-2024	196	22	a	a	DET
ap-2024	196	23	positive	positive	ADJ
ap-2024	196	24	result	result	NOUN
ap-2024	196	25	was	be	AUX
ap-2024	196	26	achieved	achieve	VERB
ap-2024	196	27	with	with	ADP
ap-2024	196	28	the	the	DET
ap-2024	196	29	robust	robust	ADJ
ap-2024	196	30	h∞	h∞	X
ap-2024	196	31	loop	loop	NOUN
ap-2024	196	32	-	-	PUNCT
ap-2024	196	33	shaping	shaping	NOUN
ap-2024	196	34	controller	controller	NOUN
ap-2024	196	35	.	.	PUNCT
ap-2024	197	1	acknowledgements	acknowledgement	VERB
ap-2024	197	2	the	the	DET
ap-2024	197	3	authors	author	NOUN
ap-2024	197	4	acknowledge	acknowledge	VERB
ap-2024	197	5	financial	financial	ADJ
ap-2024	197	6	support	support	NOUN
ap-2024	197	7	from	from	ADP
ap-2024	197	8	the	the	DET
ap-2024	197	9	german	german	ADJ
ap-2024	197	10	federal	federal	PROPN
ap-2024	197	11	ministry	ministry	PROPN
ap-2024	197	12	of	of	ADP
ap-2024	197	13	science	science	PROPN
ap-2024	197	14	and	and	CCONJ
ap-2024	197	15	education	education	NOUN
ap-2024	197	16	(	(	PUNCT
ap-2024	197	17	bundesministeriums	bundesministerium	NOUN
ap-2024	197	18	für	für	PROPN
ap-2024	197	19	bildung	bildung	PROPN
ap-2024	197	20	und	und	PROPN
ap-2024	197	21	forschung	forschung	PROPN
ap-2024	197	22	–	–	PUNCT
ap-2024	197	23	bmbf	bmbf	NOUN
ap-2024	197	24	)	)	PUNCT
ap-2024	197	25	within	within	ADP
ap-2024	197	26	the	the	DET
ap-2024	197	27	oxivent	oxivent	ADJ
ap-2024	197	28	project	project	NOUN
ap-2024	197	29	under	under	ADP
ap-2024	197	30	grant	grant	NOUN
ap-2024	197	31	number	number	NOUN
ap-2024	197	32	16sv5605	16sv5605	NUM
ap-2024	197	33	.	.	PUNCT
ap-2024	198	1	references	reference	NOUN
ap-2024	198	2	[	[	X
ap-2024	198	3	1	1	NUM
ap-2024	198	4	]	]	PUNCT
ap-2024	198	5	a.	a.	NOUN
ap-2024	198	6	pomprapa	pomprapa	PROPN
ap-2024	198	7	,	,	PUNCT
ap-2024	198	8	d.	d.	PROPN
ap-2024	198	9	schwaiberger	schwaiberger	PROPN
ap-2024	198	10	,	,	PUNCT
ap-2024	198	11	b.	b.	PROPN
ap-2024	198	12	lachmann	lachmann	PROPN
ap-2024	198	13	,	,	PUNCT
ap-2024	198	14	s.	s.	PROPN
ap-2024	198	15	leonhardt	leonhardt	PROPN
ap-2024	198	16	.	.	PUNCT
ap-2024	199	1	predictive	predictive	ADJ
ap-2024	199	2	3d	3d	PROPN
ap-2024	199	3	model	model	NOUN
ap-2024	199	4	of	of	ADP
ap-2024	199	5	co2	co2	NOUN
ap-2024	199	6	elimination	elimination	NOUN
ap-2024	199	7	for	for	ADP
ap-2024	199	8	optimal	optimal	ADJ
ap-2024	199	9	pressure	pressure	NOUN
ap-2024	199	10	-	-	PUNCT
ap-2024	199	11	controlled	control	VERB
ap-2024	199	12	ventilation	ventilation	NOUN
ap-2024	199	13	.	.	PUNCT
ap-2024	200	1	am	be	AUX
ap-2024	200	2	j	j	PROPN
ap-2024	200	3	respir	respir	NOUN
ap-2024	200	4	crit	crit	PROPN
ap-2024	200	5	care	care	NOUN
ap-2024	200	6	med	med	PROPN
ap-2024	200	7	185(3):a1717	185(3):a1717	NUM
ap-2024	200	8	,	,	PUNCT
ap-2024	200	9	2012	2012	NUM
ap-2024	200	10	.	.	PUNCT
ap-2024	201	1	[	[	X
ap-2024	201	2	2	2	NUM
ap-2024	201	3	]	]	PUNCT
ap-2024	201	4	l.	l.	PROPN
ap-2024	201	5	ljung	ljung	PROPN
ap-2024	201	6	.	.	PUNCT
ap-2024	202	1	system	system	NOUN
ap-2024	202	2	identification	identification	NOUN
ap-2024	202	3	theory	theory	NOUN
ap-2024	202	4	for	for	ADP
ap-2024	202	5	the	the	DET
ap-2024	202	6	user	user	NOUN
ap-2024	202	7	.	.	PUNCT
ap-2024	203	1	prentice	prentice	PROPN
ap-2024	203	2	hall	hall	PROPN
ap-2024	203	3	,	,	PUNCT
ap-2024	203	4	new	new	PROPN
ap-2024	203	5	jersey	jersey	PROPN
ap-2024	203	6	,	,	PUNCT
ap-2024	203	7	2nd	2nd	ADJ
ap-2024	203	8	edn	edn	PROPN
ap-2024	203	9	.	.	PUNCT
ap-2024	203	10	,	,	PUNCT
ap-2024	203	11	1999	1999	NUM
ap-2024	203	12	.	.	PUNCT
ap-2024	204	1	[	[	X
ap-2024	204	2	3	3	X
ap-2024	204	3	]	]	X
ap-2024	204	4	f.	f.	PROPN
ap-2024	204	5	w.	w.	PROPN
ap-2024	204	6	chapman	chapman	PROPN
ap-2024	204	7	,	,	PUNCT
ap-2024	204	8	j.	j.	PROPN
ap-2024	204	9	c.	c.	PROPN
ap-2024	204	10	newell	newell	PROPN
ap-2024	204	11	,	,	PUNCT
ap-2024	204	12	r.	r.	PROPN
ap-2024	204	13	j.	j.	PROPN
ap-2024	204	14	roy	roy	PROPN
ap-2024	204	15	.	.	PROPN
ap-2024	205	1	a	a	DET
ap-2024	205	2	feedback	feedback	NOUN
ap-2024	205	3	controller	controller	NOUN
ap-2024	205	4	for	for	ADP
ap-2024	205	5	ventilatory	ventilatory	ADJ
ap-2024	205	6	therapy	therapy	NOUN
ap-2024	205	7	.	.	PUNCT
ap-2024	206	1	ann	ann	PROPN
ap-2024	206	2	biomed	biome	VERB
ap-2024	206	3	eng	eng	PROPN
ap-2024	206	4	13:359–372	13:359–372	PROPN
ap-2024	206	5	,	,	PUNCT
ap-2024	206	6	1985	1985	NUM
ap-2024	206	7	.	.	PUNCT
ap-2024	207	1	[	[	X
ap-2024	207	2	4	4	NUM
ap-2024	207	3	]	]	X
ap-2024	207	4	r.	r.	PROPN
ap-2024	207	5	rudowski	rudowski	PROPN
ap-2024	207	6	,	,	PUNCT
ap-2024	207	7	c.	c.	PROPN
ap-2024	207	8	spanne	spanne	PROPN
ap-2024	207	9	,	,	PUNCT
ap-2024	207	10	g.	g.	PROPN
ap-2024	207	11	matell	matell	PROPN
ap-2024	207	12	.	.	PUNCT
ap-2024	208	1	computer	computer	NOUN
ap-2024	208	2	simulation	simulation	NOUN
ap-2024	208	3	of	of	ADP
ap-2024	208	4	a	a	DET
ap-2024	208	5	patient	patient	ADJ
ap-2024	208	6	end	end	NOUN
ap-2024	208	7	tidal	tidal	ADJ
ap-2024	208	8	co2	co2	NOUN
ap-2024	208	9	controller	controller	NOUN
ap-2024	208	10	system	system	NOUN
ap-2024	208	11	.	.	PUNCT
ap-2024	209	1	comput	comput	PROPN
ap-2024	209	2	meth	meth	PROPN
ap-2024	209	3	prog	prog	PROPN
ap-2024	209	4	bio	bio	PROPN
ap-2024	209	5	28:243–248	28:243–248	PROPN
ap-2024	209	6	,	,	PUNCT
ap-2024	209	7	1989	1989	NUM
ap-2024	209	8	.	.	PUNCT
ap-2024	210	1	[	[	X
ap-2024	210	2	5	5	NUM
ap-2024	210	3	]	]	PUNCT
ap-2024	210	4	a.	a.	NOUN
ap-2024	210	5	pomprapa	pomprapa	PROPN
ap-2024	210	6	,	,	PUNCT
ap-2024	210	7	m.	m.	PROPN
ap-2024	210	8	walter	walter	PROPN
ap-2024	210	9	,	,	PUNCT
ap-2024	210	10	c.	c.	PROPN
ap-2024	210	11	goebel	goebel	PROPN
ap-2024	210	12	,	,	PUNCT
ap-2024	210	13	et	et	PROPN
ap-2024	210	14	al	al	PROPN
ap-2024	210	15	.	.	PROPN
ap-2024	210	16	l1	l1	PROPN
ap-2024	210	17	adaptive	adaptive	PROPN
ap-2024	210	18	control	control	NOUN
ap-2024	210	19	of	of	ADP
ap-2024	210	20	end	end	NOUN
ap-2024	210	21	-	-	PUNCT
ap-2024	210	22	tidal	tidal	ADJ
ap-2024	210	23	co2	co2	NOUN
ap-2024	210	24	by	by	ADP
ap-2024	210	25	optimizing	optimize	VERB
ap-2024	210	26	the	the	DET
ap-2024	210	27	muscular	muscular	ADJ
ap-2024	210	28	power	power	NOUN
ap-2024	210	29	for	for	ADP
ap-2024	210	30	mechanically	mechanically	ADV
ap-2024	210	31	ventilated	ventilate	VERB
ap-2024	210	32	patients	patient	NOUN
ap-2024	210	33	.	.	PUNCT
ap-2024	211	1	9th	9th	ADJ
ap-2024	211	2	ifac	ifac	NOUN
ap-2024	211	3	symposium	symposium	NOUN
ap-2024	211	4	on	on	ADP
ap-2024	211	5	nonlinear	nonlinear	ADJ
ap-2024	211	6	control	control	NOUN
ap-2024	211	7	systems	system	NOUN
ap-2024	211	8	2013	2013	NUM
ap-2024	211	9	.	.	PUNCT
ap-2024	212	1	[	[	X
ap-2024	212	2	6	6	NUM
ap-2024	212	3	]	]	PUNCT
ap-2024	212	4	s.	s.	PROPN
ap-2024	212	5	mersmann	mersmann	PROPN
ap-2024	212	6	.	.	PROPN
ap-2024	212	7	smartcare	smartcare	PROPN
ap-2024	212	8	:	:	PUNCT
ap-2024	212	9	automatizing	automatize	VERB
ap-2024	212	10	clinical	clinical	ADJ
ap-2024	212	11	guidelines	guideline	NOUN
ap-2024	212	12	.	.	PUNCT
ap-2024	212	13	biomed	biome	VERB
ap-2024	212	14	tech	tech	NOUN
ap-2024	212	15	54:283–288	54:283–288	NUM
ap-2024	212	16	,	,	PUNCT
ap-2024	212	17	2009	2009	NUM
ap-2024	212	18	.	.	PUNCT
ap-2024	213	1	[	[	X
ap-2024	213	2	7	7	X
ap-2024	213	3	]	]	X
ap-2024	213	4	j.	j.	PROPN
ap-2024	213	5	hahn	hahn	PROPN
ap-2024	213	6	,	,	PUNCT
ap-2024	213	7	g.	g.	PROPN
ap-2024	213	8	dumont	dumont	PROPN
ap-2024	213	9	,	,	PUNCT
ap-2024	213	10	m.	m.	NOUN
ap-2024	213	11	anersmino	anersmino	NOUN
ap-2024	213	12	.	.	PUNCT
ap-2024	213	13	system	system	NOUN
ap-2024	213	14	identification	identification	NOUN
ap-2024	213	15	and	and	CCONJ
ap-2024	213	16	closed	closed	ADJ
ap-2024	213	17	-	-	PUNCT
ap-2024	213	18	loop	loop	NOUN
ap-2024	213	19	control	control	NOUN
ap-2024	213	20	of	of	ADP
ap-2024	213	21	end	end	NOUN
ap-2024	213	22	-	-	PUNCT
ap-2024	213	23	tidal	tidal	ADJ
ap-2024	213	24	co2	co2	NOUN
ap-2024	213	25	in	in	ADP
ap-2024	213	26	mechanically	mechanically	ADV
ap-2024	213	27	ventilated	ventilate	VERB
ap-2024	213	28	patients	patient	NOUN
ap-2024	213	29	.	.	PUNCT
ap-2024	214	1	ieee	ieee	PROPN
ap-2024	214	2	trans	trans	PROPN
ap-2024	214	3	inf	inf	PROPN
ap-2024	214	4	technol	technol	PROPN
ap-2024	214	5	biomed	biome	VERB
ap-2024	214	6	pp	pp	ADP
ap-2024	214	7	.	.	PUNCT
ap-2024	215	1	1–9	1–9	NOUN
ap-2024	215	2	,	,	PUNCT
ap-2024	215	3	2012	2012	NUM
ap-2024	215	4	.	.	PUNCT
ap-2024	216	1	[	[	X
ap-2024	216	2	8	8	NUM
ap-2024	216	3	]	]	PUNCT
ap-2024	216	4	m.	m.	NOUN
ap-2024	216	5	pottmann	pottmann	PROPN
ap-2024	216	6	,	,	PUNCT
ap-2024	216	7	r.	r.	PROPN
ap-2024	216	8	k.	k.	PROPN
ap-2024	216	9	pearson	pearson	PROPN
ap-2024	216	10	.	.	PUNCT
ap-2024	216	11	block	block	NOUN
ap-2024	216	12	-	-	PUNCT
ap-2024	216	13	oriented	orient	VERB
ap-2024	216	14	narmax	narmax	NOUN
ap-2024	216	15	models	model	NOUN
ap-2024	216	16	with	with	ADP
ap-2024	216	17	output	output	NOUN
ap-2024	216	18	multiplicities	multiplicity	NOUN
ap-2024	216	19	.	.	PUNCT
ap-2024	217	1	aiche	aiche	PROPN
ap-2024	217	2	journal	journal	PROPN
ap-2024	217	3	44(1):131	44(1):131	PROPN
ap-2024	217	4	–	–	PUNCT
ap-2024	217	5	140	140	NUM
ap-2024	217	6	,	,	PUNCT
ap-2024	217	7	1998	1998	NUM
ap-2024	217	8	.	.	PUNCT
ap-2024	218	1	[	[	X
ap-2024	218	2	9	9	NUM
ap-2024	218	3	]	]	PUNCT
ap-2024	218	4	r.	r.	PROPN
ap-2024	218	5	k.	k.	PROPN
ap-2024	218	6	pearson	pearson	PROPN
ap-2024	218	7	,	,	PUNCT
ap-2024	218	8	m.	m.	NOUN
ap-2024	218	9	pottmann	pottmann	PROPN
ap-2024	218	10	.	.	PUNCT
ap-2024	219	1	gray	gray	ADJ
ap-2024	219	2	-	-	PUNCT
ap-2024	219	3	box	box	NOUN
ap-2024	219	4	identification	identification	NOUN
ap-2024	219	5	of	of	ADP
ap-2024	219	6	block	block	NOUN
ap-2024	219	7	-	-	PUNCT
ap-2024	219	8	oriented	orient	VERB
ap-2024	219	9	nonlinear	nonlinear	ADJ
ap-2024	219	10	models	model	NOUN
ap-2024	219	11	.	.	PUNCT
ap-2024	220	1	j	j	PROPN
ap-2024	220	2	process	process	NOUN
ap-2024	220	3	contr	contr	VERB
ap-2024	220	4	10(4):301–315	10(4):301–315	PROPN
ap-2024	220	5	,	,	PUNCT
ap-2024	220	6	2000	2000	NUM
ap-2024	220	7	.	.	PUNCT
ap-2024	221	1	[	[	X
ap-2024	221	2	10	10	NUM
ap-2024	221	3	]	]	PUNCT
ap-2024	221	4	a.	a.	NOUN
ap-2024	221	5	pomprapa	pomprapa	PROPN
ap-2024	221	6	,	,	PUNCT
ap-2024	221	7	r.	r.	PROPN
ap-2024	221	8	pikkemaat	pikkemaat	PROPN
ap-2024	221	9	,	,	PUNCT
ap-2024	221	10	h.	h.	PROPN
ap-2024	221	11	luepschen	luepschen	PROPN
ap-2024	221	12	,	,	PUNCT
ap-2024	221	13	et	et	PROPN
ap-2024	221	14	al	al	PROPN
ap-2024	221	15	.	.	PROPN
ap-2024	221	16	self	self	NOUN
ap-2024	221	17	-	-	PUNCT
ap-2024	221	18	tuning	tune	VERB
ap-2024	221	19	adaptive	adaptive	ADJ
ap-2024	221	20	control	control	NOUN
ap-2024	221	21	of	of	ADP
ap-2024	221	22	the	the	DET
ap-2024	221	23	arterial	arterial	ADJ
ap-2024	221	24	oxygen	oxygen	NOUN
ap-2024	221	25	saturation	saturation	NOUN
ap-2024	221	26	for	for	ADP
ap-2024	221	27	automated	automate	VERB
ap-2024	221	28	open	open	ADJ
ap-2024	221	29	lung	lung	NOUN
ap-2024	221	30	maneuvers	maneuver	NOUN
ap-2024	221	31	.	.	PUNCT
ap-2024	222	1	3	3	NUM
ap-2024	222	2	dresdner	dresdner	PROPN
ap-2024	222	3	medizintechnik	medizintechnik	NOUN
ap-2024	222	4	-	-	NOUN
ap-2024	222	5	symposium	symposium	NOUN
ap-2024	222	6	2010	2010	NUM
ap-2024	222	7	.	.	PUNCT
ap-2024	223	1	[	[	X
ap-2024	223	2	11	11	NUM
ap-2024	223	3	]	]	X
ap-2024	223	4	d.	d.	PROPN
ap-2024	223	5	c.	c.	PROPN
ap-2024	223	6	mcfarlane	mcfarlane	PROPN
ap-2024	223	7	,	,	PUNCT
ap-2024	223	8	k.	k.	PROPN
ap-2024	223	9	glover	glover	PROPN
ap-2024	223	10	.	.	PUNCT
ap-2024	224	1	a	a	DET
ap-2024	224	2	loop	loop	NOUN
ap-2024	224	3	-	-	PUNCT
ap-2024	224	4	shaping	shape	VERB
ap-2024	224	5	design	design	NOUN
ap-2024	224	6	procedure	procedure	NOUN
ap-2024	224	7	using	use	VERB
ap-2024	224	8	h∞-bounded	h∞-bounded	ADJ
ap-2024	224	9	uncertainty	uncertainty	NOUN
ap-2024	224	10	.	.	PUNCT
ap-2024	225	1	ieee	ieee	PROPN
ap-2024	225	2	trans	trans	PROPN
ap-2024	225	3	autom	autom	PROPN
ap-2024	225	4	control	control	PROPN
ap-2024	225	5	37(6):759–769	37(6):759–769	PROPN
ap-2024	225	6	,	,	PUNCT
ap-2024	225	7	1992	1992	NUM
ap-2024	225	8	.	.	PUNCT
ap-2024	226	1	[	[	X
ap-2024	226	2	12	12	NUM
ap-2024	226	3	]	]	PUNCT
ap-2024	226	4	r.	r.	PROPN
ap-2024	226	5	a.	a.	PROPN
ap-2024	226	6	hyde	hyde	PROPN
ap-2024	226	7	.	.	PUNCT
ap-2024	227	1	h∞	h∞	PROPN
ap-2024	227	2	aerospace	aerospace	NOUN
ap-2024	227	3	control	control	NOUN
ap-2024	227	4	design	design	PROPN
ap-2024	227	5	:	:	PUNCT
ap-2024	227	6	a	a	DET
ap-2024	227	7	vstol	vstol	NOUN
ap-2024	227	8	flight	flight	NOUN
ap-2024	227	9	application	application	NOUN
ap-2024	227	10	.	.	PUNCT
ap-2024	228	1	springer	springer	NOUN
ap-2024	228	2	verlag	verlag	PROPN
ap-2024	228	3	,	,	PUNCT
ap-2024	228	4	1995	1995	NUM
ap-2024	228	5	.	.	PUNCT
ap-2024	229	1	[	[	X
ap-2024	229	2	13	13	NUM
ap-2024	229	3	]	]	X
ap-2024	229	4	d.	d.	PROPN
ap-2024	229	5	c.	c.	PROPN
ap-2024	229	6	mcfarlane	mcfarlane	PROPN
ap-2024	229	7	,	,	PUNCT
ap-2024	229	8	k.	k.	PROPN
ap-2024	229	9	glover	glover	PROPN
ap-2024	229	10	.	.	PUNCT
ap-2024	230	1	robust	robust	ADJ
ap-2024	230	2	controller	controller	NOUN
ap-2024	230	3	design	design	NOUN
ap-2024	230	4	using	use	VERB
ap-2024	230	5	normalized	normalize	VERB
ap-2024	230	6	coprime	coprime	ADJ
ap-2024	230	7	factor	factor	NOUN
ap-2024	230	8	plant	plant	NOUN
ap-2024	230	9	descriptions	description	NOUN
ap-2024	230	10	.	.	PUNCT
ap-2024	231	1	springer	springer	NOUN
ap-2024	231	2	verlag	verlag	PROPN
ap-2024	231	3	,	,	PUNCT
ap-2024	231	4	1989	1989	NUM
ap-2024	231	5	.	.	PUNCT
ap-2024	232	1	[	[	X
ap-2024	232	2	14	14	NUM
ap-2024	232	3	]	]	X
ap-2024	232	4	novametrix	novametrix	PROPN
ap-2024	232	5	medical	medical	PROPN
ap-2024	232	6	systems	systems	PROPN
ap-2024	232	7	inc	inc	PROPN
ap-2024	232	8	.	.	PROPN
ap-2024	232	9	co2smo+	co2smo+	PUNCT
ap-2024	232	10	respiratory	respiratory	ADJ
ap-2024	232	11	profile	profile	NOUN
ap-2024	232	12	monitor	monitor	VERB
ap-2024	232	13	service	service	NOUN
ap-2024	232	14	manual	manual	ADJ
ap-2024	232	15	model	model	NOUN
ap-2024	232	16	8000	8000	NUM
ap-2024	232	17	.	.	PUNCT
ap-2024	233	1	catalog	catalog	VERB
ap-2024	233	2	no	no	DET
ap-2024	233	3	9758	9758	NUM
ap-2024	233	4	-	-	SYM
ap-2024	233	5	90	90	NUM
ap-2024	233	6	-	-	PUNCT
ap-2024	233	7	02	02	NUM
ap-2024	233	8	(	(	PUNCT
ap-2024	233	9	rev	rev	X
ap-2024	233	10	2	2	NUM
ap-2024	233	11	)	)	PUNCT
ap-2024	233	12	p.	p.	NOUN
ap-2024	233	13	67	67	NUM
ap-2024	233	14	,	,	PUNCT
ap-2024	233	15	2001	2001	NUM
ap-2024	233	16	.	.	PUNCT
ap-2024	234	1	[	[	X
ap-2024	234	2	15	15	NUM
ap-2024	234	3	]	]	X
ap-2024	234	4	h.	h.	PROPN
ap-2024	234	5	w.	w.	PROPN
ap-2024	234	6	bode	bode	PROPN
ap-2024	234	7	.	.	PUNCT
ap-2024	235	1	network	network	NOUN
ap-2024	235	2	analysis	analysis	NOUN
ap-2024	235	3	and	and	CCONJ
ap-2024	235	4	feedback	feedback	NOUN
ap-2024	235	5	amplifier	amplifier	NOUN
ap-2024	235	6	design	design	NOUN
ap-2024	235	7	.	.	PUNCT
ap-2024	236	1	d.	d.	PROPN
ap-2024	236	2	van	van	PROPN
ap-2024	236	3	nostrand	nostrand	PROPN
ap-2024	236	4	inc	inc	PROPN
ap-2024	236	5	.	.	PROPN
ap-2024	236	6	,	,	PUNCT
ap-2024	236	7	1945	1945	NUM
ap-2024	237	1	.	.	PUNCT
ap-2024	238	1	[	[	X
ap-2024	238	2	16	16	NUM
ap-2024	238	3	]	]	X
ap-2024	238	4	d.	d.	PROPN
ap-2024	238	5	w.	w.	PROPN
ap-2024	238	6	gu	gu	PROPN
ap-2024	238	7	,	,	PUNCT
ap-2024	238	8	p.	p.	PROPN
ap-2024	238	9	h.	h.	PROPN
ap-2024	238	10	petkov	petkov	PROPN
ap-2024	238	11	,	,	PUNCT
ap-2024	238	12	m.	m.	NOUN
ap-2024	238	13	m.	m.	NOUN
ap-2024	238	14	konstantinov	konstantinov	PROPN
ap-2024	238	15	.	.	PUNCT
ap-2024	239	1	formulae	formulae	VERB
ap-2024	239	2	for	for	ADP
ap-2024	239	3	discrete	discrete	ADJ
ap-2024	239	4	h∞	h∞	X
ap-2024	239	5	loop	loop	NOUN
ap-2024	239	6	-	-	PUNCT
ap-2024	239	7	shaping	shape	VERB
ap-2024	239	8	design	design	NOUN
ap-2024	239	9	procedure	procedure	NOUN
ap-2024	239	10	controllers	controller	NOUN
ap-2024	239	11	.	.	PUNCT
ap-2024	240	1	15th	15th	ADJ
ap-2024	240	2	ifac	ifac	NOUN
ap-2024	240	3	world	world	PROPN
ap-2024	240	4	congress	congress	PROPN
ap-2024	240	5	15(1):351	15(1):351	PROPN
ap-2024	240	6	,	,	PUNCT
ap-2024	240	7	2002	2002	NUM
ap-2024	240	8	.	.	PUNCT
ap-2024	241	1	[	[	X
ap-2024	241	2	17	17	NUM
ap-2024	241	3	]	]	PUNCT
ap-2024	241	4	j.	j.	PROPN
ap-2024	241	5	j.	j.	PROPN
ap-2024	241	6	haitsma	haitsma	PROPN
ap-2024	241	7	,	,	PUNCT
ap-2024	241	8	r.	r.	PROPN
ap-2024	241	9	a.	a.	PROPN
ap-2024	241	10	lachmann	lachmann	PROPN
ap-2024	241	11	,	,	PUNCT
ap-2024	241	12	b.	b.	PROPN
ap-2024	241	13	lachmann	lachmann	PROPN
ap-2024	241	14	.	.	PUNCT
ap-2024	242	1	open	open	ADJ
ap-2024	242	2	lung	lung	PROPN
ap-2024	242	3	in	in	ADP
ap-2024	242	4	ards	ard	NOUN
ap-2024	242	5	.	.	PUNCT
ap-2024	243	1	acta	acta	PROPN
ap-2024	243	2	phamacol	phamacol	PROPN
ap-2024	243	3	sin	sin	PROPN
ap-2024	243	4	12:1304–1307	12:1304–1307	NUM
ap-2024	243	5	,	,	PUNCT
ap-2024	243	6	2003	2003	NUM
ap-2024	243	7	.	.	PUNCT
ap-2024	244	1	[	[	X
ap-2024	244	2	18	18	NUM
ap-2024	244	3	]	]	PUNCT
ap-2024	244	4	m.	m.	NOUN
ap-2024	244	5	kartal	kartal	PROPN
ap-2024	244	6	,	,	PUNCT
ap-2024	244	7	e.	e.	PROPN
ap-2024	244	8	goksu	goksu	PROPN
ap-2024	244	9	,	,	PUNCT
ap-2024	244	10	o.	o.	PROPN
ap-2024	244	11	eray	eray	PROPN
ap-2024	244	12	,	,	PUNCT
ap-2024	244	13	et	et	PROPN
ap-2024	244	14	al	al	PROPN
ap-2024	244	15	.	.	PUNCT
ap-2024	245	1	the	the	DET
ap-2024	245	2	value	value	NOUN
ap-2024	245	3	of	of	ADP
ap-2024	245	4	etco2	etco2	PROPN
ap-2024	245	5	measurement	measurement	NOUN
ap-2024	245	6	for	for	ADP
ap-2024	245	7	copd	copd	NOUN
ap-2024	245	8	patients	patient	NOUN
ap-2024	245	9	in	in	ADP
ap-2024	245	10	the	the	DET
ap-2024	245	11	emergency	emergency	NOUN
ap-2024	245	12	.	.	PUNCT
ap-2024	246	1	eur	eur	PROPN
ap-2024	246	2	j	j	PROPN
ap-2024	246	3	emerg	emerg	PROPN
ap-2024	246	4	med	med	PROPN
ap-2024	246	5	18:9	18:9	NUM
ap-2024	246	6	–	–	PUNCT
ap-2024	246	7	12	12	NUM
ap-2024	246	8	,	,	PUNCT
ap-2024	246	9	2011	2011	NUM
ap-2024	246	10	.	.	PUNCT
ap-2024	247	1	[	[	X
ap-2024	247	2	19	19	NUM
ap-2024	247	3	]	]	X
ap-2024	247	4	i.	i.	PROPN
ap-2024	247	5	w.	w.	PROPN
ap-2024	247	6	hunter	hunter	PROPN
ap-2024	247	7	,	,	PUNCT
ap-2024	247	8	m.	m.	NOUN
ap-2024	247	9	j.	j.	PROPN
ap-2024	247	10	korenberg	korenberg	PROPN
ap-2024	247	11	.	.	PUNCT
ap-2024	248	1	the	the	DET
ap-2024	248	2	identification	identification	NOUN
ap-2024	248	3	of	of	ADP
ap-2024	248	4	nonlinear	nonlinear	ADJ
ap-2024	248	5	biological	biological	ADJ
ap-2024	248	6	systems	system	NOUN
ap-2024	248	7	:	:	PUNCT
ap-2024	248	8	weiner	weiner	NOUN
ap-2024	248	9	and	and	CCONJ
ap-2024	248	10	hammerstein	hammerstein	PROPN
ap-2024	248	11	cascade	cascade	NOUN
ap-2024	248	12	models	model	NOUN
ap-2024	248	13	.	.	PUNCT
ap-2024	249	1	biol	biol	PROPN
ap-2024	249	2	cybern	cybern	PROPN
ap-2024	249	3	55:135–144	55:135–144	PROPN
ap-2024	249	4	,	,	PUNCT
ap-2024	249	5	1986	1986	NUM
ap-2024	249	6	.	.	PUNCT
ap-2024	250	1	[	[	X
ap-2024	250	2	20	20	NUM
ap-2024	250	3	]	]	X
ap-2024	250	4	d.	d.	PROPN
ap-2024	250	5	t.	t.	PROPN
ap-2024	250	6	westwick	westwick	PROPN
ap-2024	250	7	,	,	PUNCT
ap-2024	250	8	r.	r.	PROPN
ap-2024	250	9	e.	e.	PROPN
ap-2024	250	10	kearney	kearney	PROPN
ap-2024	250	11	.	.	PUNCT
ap-2024	251	1	identification	identification	NOUN
ap-2024	251	2	of	of	ADP
ap-2024	251	3	a	a	DET
ap-2024	251	4	hammerstein	hammerstein	PROPN
ap-2024	251	5	model	model	NOUN
ap-2024	251	6	of	of	ADP
ap-2024	251	7	the	the	DET
ap-2024	251	8	stretch	stretch	PROPN
ap-2024	251	9	reflex	reflex	NOUN
ap-2024	251	10	emg	emg	NOUN
ap-2024	251	11	using	use	VERB
ap-2024	251	12	separable	separable	NOUN
ap-2024	251	13	least	least	ADJ
ap-2024	251	14	squares	square	NOUN
ap-2024	251	15	.	.	PUNCT
ap-2024	252	1	ieee	ieee	PROPN
ap-2024	252	2	embs	embs	ADJ
ap-2024	252	3	3:1901	3:1901	NUM
ap-2024	252	4	–	–	PUNCT
ap-2024	252	5	1904	1904	NUM
ap-2024	252	6	,	,	PUNCT
ap-2024	252	7	2000	2000	NUM
ap-2024	252	8	.	.	PUNCT
ap-2024	253	1	[	[	X
ap-2024	253	2	21	21	NUM
ap-2024	253	3	]	]	PUNCT
ap-2024	253	4	s.	s.	PROPN
ap-2024	253	5	w.	w.	PROPN
ap-2024	253	6	su	su	PROPN
ap-2024	253	7	,	,	PUNCT
ap-2024	253	8	s.	s.	PROPN
ap-2024	253	9	huang	huang	PROPN
ap-2024	253	10	,	,	PUNCT
ap-2024	253	11	l.	l.	PROPN
ap-2024	253	12	wang	wang	PROPN
ap-2024	253	13	,	,	PUNCT
ap-2024	253	14	et	et	PROPN
ap-2024	253	15	al	al	PROPN
ap-2024	253	16	.	.	PROPN
ap-2024	253	17	nonparametric	nonparametric	PROPN
ap-2024	253	18	hammerstein	hammerstein	PROPN
ap-2024	253	19	model	model	PROPN
ap-2024	253	20	based	base	VERB
ap-2024	253	21	model	model	PROPN
ap-2024	253	22	predictive	predictive	PROPN
ap-2024	253	23	control	control	NOUN
ap-2024	253	24	for	for	ADP
ap-2024	253	25	heart	heart	NOUN
ap-2024	253	26	rate	rate	NOUN
ap-2024	253	27	regulation	regulation	NOUN
ap-2024	253	28	.	.	PUNCT
ap-2024	254	1	ieee	ieee	PROPN
ap-2024	254	2	embs	embs	PROPN
ap-2024	254	3	pp	pp	PROPN
ap-2024	254	4	.	.	PROPN
ap-2024	254	5	2984	2984	NUM
ap-2024	254	6	–	–	PUNCT
ap-2024	254	7	2987	2987	NUM
ap-2024	254	8	,	,	PUNCT
ap-2024	254	9	2007	2007	NUM
ap-2024	254	10	.	.	PUNCT
ap-2024	254	11	900	900	NUM
ap-2024	254	12	acta	acta	PROPN
ap-2024	254	13	polytechnica	polytechnica	PROPN
ap-2024	254	14	53(6):895–900	53(6):895–900	NOUN
ap-2024	254	15	,	,	PUNCT
ap-2024	254	16	2013	2013	NUM
ap-2024	254	17	1	1	NUM
ap-2024	254	18	introduction	introduction	NOUN
ap-2024	254	19	2	2	NUM
ap-2024	254	20	system	system	NOUN
ap-2024	254	21	modeling	model	VERB
ap-2024	254	22	2.1	2.1	NUM
ap-2024	254	23	system	system	NOUN
ap-2024	254	24	configuration	configuration	NOUN
ap-2024	254	25	2.2	2.2	NUM
ap-2024	254	26	static	static	ADJ
ap-2024	254	27	nonlinearity	nonlinearity	NOUN
ap-2024	254	28	2.3	2.3	NUM
ap-2024	254	29	linear	linear	NOUN
ap-2024	254	30	affine	affine	NOUN
ap-2024	254	31	model	model	NOUN
ap-2024	254	32	2.4	2.4	NUM
ap-2024	254	33	nonlinear	nonlinear	PROPN
ap-2024	254	34	hammerstein	hammerstein	PROPN
ap-2024	254	35	model	model	PROPN
ap-2024	254	36	2.5	2.5	NUM
ap-2024	254	37	evaluation	evaluation	NOUN
ap-2024	254	38	of	of	ADP
ap-2024	254	39	model	model	NOUN
ap-2024	254	40	structure	structure	NOUN
ap-2024	254	41	3	3	NUM
ap-2024	254	42	design	design	NOUN
ap-2024	254	43	of	of	ADP
ap-2024	254	44	robust	robust	ADJ
ap-2024	254	45	controller	controller	NOUN
ap-2024	254	46	3.1	3.1	NUM
ap-2024	254	47	loop	loop	NOUN
ap-2024	254	48	-	-	PUNCT
ap-2024	254	49	shaping	shaping	NOUN
ap-2024	254	50	design	design	NOUN
ap-2024	254	51	using	use	VERB
ap-2024	254	52	h	h	NOUN
ap-2024	254	53	infty	infty	ADJ
ap-2024	254	54	3.2	3.2	NUM
ap-2024	254	55	step	step	NOUN
ap-2024	254	56	response	response	NOUN
ap-2024	254	57	simulation	simulation	NOUN
ap-2024	254	58	3.3	3.3	NUM
ap-2024	254	59	evaluation	evaluation	NOUN
ap-2024	254	60	of	of	ADP
ap-2024	254	61	closed	closed	ADJ
ap-2024	254	62	-	-	PUNCT
ap-2024	254	63	loop	loop	NOUN
ap-2024	254	64	control	control	NOUN
ap-2024	254	65	ventilation	ventilation	NOUN
ap-2024	254	66	4	4	NUM
ap-2024	254	67	discussion	discussion	NOUN
ap-2024	254	68	5	5	NUM
ap-2024	254	69	conclusion	conclusion	NOUN
ap-2024	254	70	acknowledgements	acknowledgement	NOUN
ap-2024	254	71	references	reference	NOUN