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Neural-network-based adaptive guaranteed cost control of nonlinear dynamical systems with matched uncertainties
Mu, Chaoxu1; Wang, Ding2
Source PublicationNEUROCOMPUTING
2017-07-05
Volume245Pages:46-54
SubtypeArticle
AbstractIn 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.
KeywordAdaptive Dynamic Programming (Adp) Guaranteed Cost Control Neural Networks Uncertain Dynamics Stability
WOS HeadingsScience & Technology ; Technology
DOI10.1016/j.neucom.2017.03.047
WOS KeywordDISCRETE-TIME-SYSTEMS ; SWITCHED NEUTRAL SYSTEMS ; VARYING MIXED DELAYS ; UNKNOWN DYNAMICS ; STABILIZATION ; REINFORCEMENT ; REGRESSION ; ALGORITHM ; DESIGN ; MODEL
Indexed BySCI
Language英语
Funding OrganizationNational 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)
WOS Research AreaComputer Science
WOS SubjectComputer Science, Artificial Intelligence
WOS IDWOS:000400217000005
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Cited Times:13[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/15260
Collection复杂系统管理与控制国家重点实验室_平行控制
Affiliation1.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
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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.
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