Data-Based Adaptive Critic Designs for Nonlinear Robust Optimal Control With Uncertain Dynamics

doi:10.1109/TSMC.2015.2492941

CASIA OpenIR > 多模态人工智能系统全国重点实验室 > 深度强化学习

	Data-Based Adaptive Critic Designs for Nonlinear Robust Optimal Control With Uncertain Dynamics
	Wang, Ding1 ; Liu, Derong 2; Zhang, Qichao1 ; Zhao, Dongbin1
发表期刊	IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS
	2016-11-01
卷号	46 期号:11 页码:1544-1555
文章类型	Article
摘要	In this paper, the infinite-horizon robust optimal control problem for a class of continuous-time uncertain non-linear systems is investigated by using data-based adaptive critic designs. The neural network identification scheme is combined with the traditional adaptive critic technique, in order to design the nonlinear robust optimal control under uncertain environment. First, the robust optimal controller of the original uncertain system with a specified cost function is established by adding a feedback gain to the optimal controller of the nominal system. Then, a neural network identifier is employed to reconstruct the unknown dynamics of the nominal system with stability analysis. Hence, the data-based adaptive critic designs can be developed to solve the Hamilton-Jacobi-Bellman equation corresponding to the transformed optimal control problem. The uniform ultimate boundedness of the closed-loop system is also proved by using the Lyapunov approach. Finally, two simulation examples are presented to illustrate the effectiveness of the developed control strategy.
关键词	Adaptive Critic Designs Adaptive Dynamic Programming Intelligent Control Neural Networks Policy Iteration Robust Optimal Control System Identification Uncertain Nonlinear Systems
WOS标题词	Science & Technology ; Technology
DOI	10.1109/TSMC.2015.2492941
关键词[WOS]	ONLINE OPTIMAL-CONTROL ; DISCRETE-TIME-SYSTEMS ; POLICY ITERATION ; DECENTRALIZED STABILIZATION ; INPUT CONSTRAINTS ; UNKNOWN DYNAMICS ; HJB SOLUTION ; ALGORITHM
收录类别	SCI
语种	英语
项目资助者	National Natural Science Foundation of China(61233001 ; State Key Laboratory of Management and Control for Complex Systems ; 61273136 ; 61273140 ; 61304086 ; 61374105 ; 61533017 ; 61573353)
WOS研究方向	Automation & Control Systems ; Computer Science
WOS类目	Automation & Control Systems ; Computer Science, Cybernetics
WOS记录号	WOS:000386225800006
引用统计	被引频次：176[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/173211/13326
专题	多模态人工智能系统全国重点实验室_深度强化学习
作者单位	1.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China 2.Univ Sci & Technol Beijing, Sch Automat & Elect Engn, Beijing 100083, 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	Wang, Ding,Liu, Derong,Zhang, Qichao,et al. Data-Based Adaptive Critic Designs for Nonlinear Robust Optimal Control With Uncertain Dynamics[J]. IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS,2016,46(11):1544-1555.
APA	Wang, Ding,Liu, Derong,Zhang, Qichao,&Zhao, Dongbin.(2016).Data-Based Adaptive Critic Designs for Nonlinear Robust Optimal Control With Uncertain Dynamics.IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS,46(11),1544-1555.
MLA	Wang, Ding,et al."Data-Based Adaptive Critic Designs for Nonlinear Robust Optimal Control With Uncertain Dynamics".IEEE TRANSACTIONS ON SYSTEMS MAN CYBERNETICS-SYSTEMS 46.11(2016):1544-1555.

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