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Neural-network-based adaptive guaranteed cost control of nonlinear dynamical systems with matched uncertainties | |
Mu, Chaoxu1; Wang, Ding2 | |
发表期刊 | NEUROCOMPUTING |
2017-07-05 | |
卷号 | 245页码:46-54 |
文章类型 | Article |
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. |
关键词 | Adaptive Dynamic Programming (Adp) Guaranteed Cost Control Neural Networks Uncertain Dynamics Stability |
WOS标题词 | Science & Technology ; Technology |
DOI | 10.1016/j.neucom.2017.03.047 |
关键词[WOS] | DISCRETE-TIME-SYSTEMS ; SWITCHED NEUTRAL SYSTEMS ; VARYING MIXED DELAYS ; UNKNOWN DYNAMICS ; STABILIZATION ; REINFORCEMENT ; REGRESSION ; ALGORITHM ; DESIGN ; MODEL |
收录类别 | SCI |
语种 | 英语 |
项目资助者 | 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) |
WOS研究方向 | Computer Science |
WOS类目 | Computer Science, Artificial Intelligence |
WOS记录号 | WOS:000400217000005 |
引用统计 | |
文献类型 | 期刊论文 |
条目标识符 | http://ir.ia.ac.cn/handle/173211/15260 |
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.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. |
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