A Novel Iterative theta-Adaptive Dynamic Programming for Discrete-Time Nonlinear Systems

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	A Novel Iterative theta-Adaptive Dynamic Programming for Discrete-Time Nonlinear Systems
	Wei, Qinglai; Liu, Derong; Derong Liu
发表期刊	IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING
	2014-10-01
卷号	11 期号:4 页码:1176-1190
文章类型	Article
摘要	This paper is concerned with a new iterative theta-adaptive dynamic programming (ADP) technique to solve optimal control problems of infinite horizon discrete-time nonlinear systems. The idea is to use an iterative ADP algorithm to obtain the iterative control law which optimizes the iterative performance index function. In the present iterative theta-ADP algorithm, the condition of initial admissible control in policy iteration algorithm is avoided. It is proved that all the iterative controls obtained in the iterative theta-ADP algorithm can stabilize the nonlinear system which means that the iterative theta-ADP algorithm is feasible for implementations both online and offline. Convergence analysis of the performance index function is presented to guarantee that the iterative performance index function will converge to the optimum monotonically. Neural networks are used to approximate the performance index function and compute the optimal control policy, respectively, for facilitating the implementation of the iterative theta-ADP algorithm. Finally, two simulation examples are given to illustrate the performance of the established method.
关键词	Adaptive Critic Designs Adaptive Dynamic Programming Approximate Dynamic Programming Neural Networks Neuro-dynamic Programming Nonlinear Systems Optimal Control Policy Iteration Reinforcement Learning Value Iteration
WOS标题词	Science & Technology ; Technology
关键词[WOS]	CONTROL SCHEME ; REINFORCEMENT ; ALGORITHM ; OPTIMIZATION
收录类别	SCI
语种	英语
WOS研究方向	Automation & Control Systems
WOS类目	Automation & Control Systems
WOS记录号	WOS:000343609500020
引用统计	被引频次：119[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/173211/3831
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	Derong Liu
作者单位	Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China
第一作者单位	中国科学院自动化研究所
推荐引用方式 GB/T 7714	Wei, Qinglai,Liu, Derong,Derong Liu. A Novel Iterative theta-Adaptive Dynamic Programming for Discrete-Time Nonlinear Systems[J]. IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING,2014,11(4):1176-1190.
APA	Wei, Qinglai,Liu, Derong,&Derong Liu.(2014).A Novel Iterative theta-Adaptive Dynamic Programming for Discrete-Time Nonlinear Systems.IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING,11(4),1176-1190.
MLA	Wei, Qinglai,et al."A Novel Iterative theta-Adaptive Dynamic Programming for Discrete-Time Nonlinear Systems".IEEE TRANSACTIONS ON AUTOMATION SCIENCE AND ENGINEERING 11.4(2014):1176-1190.

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