Neural-network-based adaptive guaranteed cost control of nonlinear dynamical systems with matched uncertainties

doi:10.1016/j.neucom.2017.03.047

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	Neural-network-based adaptive guaranteed cost control of nonlinear dynamical systems with matched uncertainties
	Mu, Chaoxu 1; Wang, Ding2
刊名	NEUROCOMPUTING
	2017-07-05
卷号	245 页码:46-54
关键词	Adaptive Dynamic Programming (Adp) Guaranteed Cost Control Neural Networks Uncertain Dynamics Stability
DOI	10.1016/j.neucom.2017.03.047
文献子类	Article
英文摘要	In this paper, we investigate the neural-network-based adaptive guaranteed cost control for continuous time affine nonlinear systems with dynamical uncertainties. Through theoretical analysis, the guaranteed cost control problem is transformed into designing an optimal controller of the associated nominal system with a newly defined cost function. The approach of adaptive dynamic programming (ADP) is involved to implement the guaranteed cost control strategy with the neural network approximation. The stability of the closed-loop system with the guaranteed cost control law, the convergence of the critic network weights and the approximate boundary of the guaranteed cost control law are all analyzed. Two simulation examples have been conducted and all simulation results have indicated the good performance of the developed guaranteed cost control strategy. (C) 2017 Elsevier B.V. All rights reserved.
WOS关键词	DISCRETE-TIME-SYSTEMS ; SWITCHED NEUTRAL SYSTEMS ; VARYING MIXED DELAYS ; UNKNOWN DYNAMICS ; STABILIZATION ; REINFORCEMENT ; REGRESSION ; ALGORITHM ; DESIGN ; MODEL
WOS研究方向	Computer Science
语种	英语
WOS记录号	WOS:000400217000005
资助机构	National Natural Science Foundation of China(U1501251 ; Beijing Natural Science Foundation(4162065) ; Tianjin Natural Science Foundation(14JCQNJC05400) ; Research Fund of Tianjin Key Laboratory of Process Measurement and Control(TKLPMC-201612) ; Early Career Development Award of SKLMCCS ; 61533017 ; 61304018 ; 61304086 ; 61411130160)
内容类型	期刊论文
源URL	[http://ir.ia.ac.cn/handle/173211/15260]
专题	复杂系统管理与控制国家重点实验室_平行控制
作者单位	1.Tianjin Univ, Tianjin Key Lab Proc Measurement & Control, Sch Elect & Informat Engn, Tianjin 300072, Peoples R China 2.Chinese Acad Sci, State Key Lab Management & Control Complex Syst, Inst Automat, Beijing 100190, Peoples R China
推荐引用方式 GB/T 7714	Mu, Chaoxu,Wang, Ding. Neural-network-based adaptive guaranteed cost control of nonlinear dynamical systems with matched uncertainties[J]. NEUROCOMPUTING,2017,245:46-54.
APA	Mu, Chaoxu,&Wang, Ding.(2017).Neural-network-based adaptive guaranteed cost control of nonlinear dynamical systems with matched uncertainties.NEUROCOMPUTING,245,46-54.
MLA	Mu, Chaoxu,et al."Neural-network-based adaptive guaranteed cost control of nonlinear dynamical systems with matched uncertainties".NEUROCOMPUTING 245(2017):46-54.