Observer based adaptive dynamic programming for fault tolerant control of a class of nonlinear systems

doi:10.1016/j.ins.2016.12.016

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

	Observer based adaptive dynamic programming for fault tolerant control of a class of nonlinear systems
	Zhao, Bo1 ; Liu, Derong 2; Li, Yuanchun 3
发表期刊	INFORMATION SCIENCES
	2017-04-01
期号	384 页码:21-33
文章类型	Article
摘要	This paper develops a novel fault tolerant control (FTC) scheme for a class of nonlinear systems with actuator failures based on adaptive dynamic programming (ADP). The estimated actuator failure from a fault observer is utilized to construct an improved performance index function that reflects the failure, regulation and control simultaneously. By employing a proper performance index function, the FTC problem can be transformed into an optimal control problem. By using policy iteration, the Hamilton-Jacobi-Bellman equation can be solved by constructing a critic neural network. Then, the approximated optimal controller can be derived directly. The closed-loop system is guaranteed to be uniformly ultimately bounded via the Lyapunov stability theorem. The effectiveness of the developed FTC scheme is demonstrated by two simulation examples. The significant contribution of the proposed strategy lies in that the well-known ADP method is extended to solving the FTC problem. (C) 2016 Elsevier Inc. All rights reserved.
关键词	Adaptive Dynamic Programming Fault Tolerant Control Policy Iteration Nonlinear Systems Fault Observer Neural Network
WOS标题词	Science & Technology ; Technology
DOI	10.1016/j.ins.2016.12.016
关键词[WOS]	MARKOVIAN JUMP SYSTEMS ; ZERO-SUM GAMES ; UNKNOWN DYNAMICS ; LEARNING CONTROL ; TIME ; REINFORCEMENT ; ALGORITHM ; ITERATION ; ROBUST ; STABILIZATION
收录类别	SCI
语种	英语
项目资助者	National Natural Science Foundation of China(61233001 ; Scientific and Technological Development Plan Project in Jilin Province of China(20150520112JH ; 61273140 ; 20160414033GH) ; 61304086 ; 61374105 ; 61374051 ; 61533017 ; 61503377 ; 61503379 ; 61603387 ; U1501251)
WOS研究方向	Computer Science
WOS类目	Computer Science, Information Systems
WOS记录号	WOS:000392785100002
引用统计	被引频次：83[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/173211/14368
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
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 3.Changchun Univ Technol, Dept Control Sci & Engn, Changchun 130012, 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	Zhao, Bo,Liu, Derong,Li, Yuanchun. Observer based adaptive dynamic programming for fault tolerant control of a class of nonlinear systems[J]. INFORMATION SCIENCES,2017(384):21-33.
APA	Zhao, Bo,Liu, Derong,&Li, Yuanchun.(2017).Observer based adaptive dynamic programming for fault tolerant control of a class of nonlinear systems.INFORMATION SCIENCES(384),21-33.
MLA	Zhao, Bo,et al."Observer based adaptive dynamic programming for fault tolerant control of a class of nonlinear systems".INFORMATION SCIENCES .384(2017):21-33.

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