Discrete-Time Impulsive Adaptive Dynamic Programming

doi:10.1109/TCYB.2019.2906694

CASIA OpenIR > 多模态人工智能系统全国重点实验室 > 复杂系统智能机理与平行控制团队

	Discrete-Time Impulsive Adaptive Dynamic Programming
	Wei, Qinglai1,2 ; Song, Ruizhuo 3; Liao, Zehua1,2 ; Li, Benkai1,2 ; Lewis, Frank L.4,5
发表期刊	IEEE TRANSACTIONS ON CYBERNETICS
ISSN	2168-2267
	2020-10-01
卷号	50 期号:10 页码:4293-4306
通讯作者	Wei, Qinglai(qinglai.wei@ia.ac.cn)
摘要	In this paper, a new iterative adaptive dynamic programming (ADP) algorithm is developed to solve optimal impulsive control problems for infinite horizon discrete-time nonlinear systems. Considering the constraint of the impulsive interval, in each iteration, the iterative impulsive value function under each possible impulsive interval is obtained, and then the iterative value function and iterative control law are achieved. A new convergence analysis method is developed which proves an iterative value function to converge to the optimum as the iteration index increases to infinity. The properties of the iterative control law are analyzed, and the detailed implementation of the optimal impulsive control law is presented. Finally, two simulation examples with comparisons are given to show the effectiveness of the developed method.
关键词	Optimal control Performance analysis Nonlinear systems Dynamic programming Heuristic algorithms Indexes Adaptive critic designs adaptive dynamic programming (ADP) approximate dynamic programming impulsive control nonlinear systems optimal control
DOI	10.1109/TCYB.2019.2906694
关键词[WOS]	OPTIMAL TRACKING CONTROL ; ONLINE LEARNING CONTROL ; PERIODIC-SOLUTIONS ; NEURAL-NETWORKS ; SYSTEMS ; CONTROLLABILITY ; ALGORITHMS ; DESIGN
收录类别	SCI
语种	英语
资助项目	National Natural Science Foundation of China[61722312] ; National Natural Science Foundation of China[61503379] ; National Natural Science Foundation of China[61873300] ; National Natural Science Foundation of China[61533017] ; National Natural Science Foundation of China[U1501251]
项目资助者	National Natural Science Foundation of China
WOS研究方向	Automation & Control Systems ; Computer Science
WOS类目	Automation & Control Systems ; Computer Science, Artificial Intelligence ; Computer Science, Cybernetics
WOS记录号	WOS:000572625500009
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
七大方向——子方向分类	智能控制
引用统计	被引频次：67[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ia.ac.cn/handle/173211/41974
专题	多模态人工智能系统全国重点实验室_复杂系统智能机理与平行控制团队
通讯作者	Wei, Qinglai
作者单位	1.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China 2.Univ Chinese Acad Sci, Sch Artificial Intelligence, Beijing 100049, Peoples R China 3.Univ Sci & Technol Beijing, Sch Automat & Elect Engn, Beijing 100083, Peoples R China 4.Univ Texas Arlington, UTA Res Inst, Arlington, TX 76118 USA 5.Northeastern Univ, Shenyang 110036, Peoples R China
第一作者单位	中国科学院自动化研究所
通讯作者单位	中国科学院自动化研究所
推荐引用方式 GB/T 7714	Wei, Qinglai,Song, Ruizhuo,Liao, Zehua,et al. Discrete-Time Impulsive Adaptive Dynamic Programming[J]. IEEE TRANSACTIONS ON CYBERNETICS,2020,50(10):4293-4306.
APA	Wei, Qinglai,Song, Ruizhuo,Liao, Zehua,Li, Benkai,&Lewis, Frank L..(2020).Discrete-Time Impulsive Adaptive Dynamic Programming.IEEE TRANSACTIONS ON CYBERNETICS,50(10),4293-4306.
MLA	Wei, Qinglai,et al."Discrete-Time Impulsive Adaptive Dynamic Programming".IEEE TRANSACTIONS ON CYBERNETICS 50.10(2020):4293-4306.