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

文献类型：期刊论文

作者Mu, Chaoxu1; Wang, Ding2
刊名NEUROCOMPUTING
出版日期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
DOI10.1016/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)
源URL[http://ir.ia.ac.cn/handle/173211/15260]  
专题自动化研究所_复杂系统管理与控制国家重点实验室_智能化团队
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.

入库方式： OAI收割

来源：自动化研究所

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