id	author	title	date	pages	extension	mime	words	sentence	flesch	summary	cache	txt
fcis-3343	Ma, Qingzhuang; Yin, Yongqi; Shi, Xueqian	Review of Research Methods for Hypersonic Vehicle Reentry Trajectory Planning	2022	4	.pdf	application/pdf	3277	151	36	This paper introduces the current research status of traditional trajectory planning methods and reinforcement learning methods, and proposes that the reentry trajectory planning methods will be intelligent in the future. Trajectory planning method based on optimization/intelligent algorithm Trajectory planning often needs to make the aircraft meet process constraints and terminal constraints to plan a trajectory with the best index, that is, trajectory optimization problem.	cache/fcis-3343.pdf	txt/fcis-3343.txt