Off-policy neuro-optimal control for unknown complex-valued nonlinear systems based on policy iteration
Song, Ruizhuo1; Wei, Qinglai2; Xiao, Wendong1
2017-06-01
发表期刊NEURAL COMPUTING & APPLICATIONS
卷号28期号:6页码:1435-1441
文章类型Article
摘要This paper establishes an optimal control of unknown complex-valued system. Policy iteration is used to obtain the solution of the Hamilton-Jacobi-Bellman equation. Off-policy learning allows the iterative performance index and iterative control to be obtained by completely unknown dynamics. Critic and action networks are used to get the iterative control and iterative performance index, which execute policy evaluation and policy improvement. Asymptotic stability of the closed-loop system and the convergence of the iterative performance index function are proven. By Lyapunov technique, the uniformly ultimately bounded of the weight error is proven. Simulation study demonstrates the effectiveness of the proposed optimal control method.
关键词Adaptive Dynamic Programming Approximate Dynamic Programming Adaptive Critic Designs Optimal Control
WOS标题词Science & Technology ; Technology
DOI10.1007/s00521-015-2144-0
关键词[WOS]OPTIMAL TRACKING CONTROL ; CONTINUOUS-TIME SYSTEMS ; MULTIOBJECTIVE OPTIMAL-CONTROL ; ADAPTIVE OPTIMAL-CONTROL ; OPTIMAL-CONTROL SCHEME ; FEEDBACK-CONTROL ; NETWORK ; ALGORITHM ; DYNAMICS ; DESIGN
收录类别SCI
语种英语
项目资助者National Natural Science Foundation of China(61304079 ; Fundamental Research Funds for the Central Universities(FRF-TP-15-056A3) ; Open Research Project from SKLMCCS(20150104) ; 61374105)
WOS研究方向Computer Science
WOS类目Computer Science, Artificial Intelligence
WOS记录号WOS:000403939000019
引用统计
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/13640
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.Univ Sci & Technol Beijing, Sch Automat & Elect Engn, Beijing 100083, Peoples R China
2.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China
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Song, Ruizhuo,Wei, Qinglai,Xiao, Wendong. Off-policy neuro-optimal control for unknown complex-valued nonlinear systems based on policy iteration[J]. NEURAL COMPUTING & APPLICATIONS,2017,28(6):1435-1441.
APA Song, Ruizhuo,Wei, Qinglai,&Xiao, Wendong.(2017).Off-policy neuro-optimal control for unknown complex-valued nonlinear systems based on policy iteration.NEURAL COMPUTING & APPLICATIONS,28(6),1435-1441.
MLA Song, Ruizhuo,et al."Off-policy neuro-optimal control for unknown complex-valued nonlinear systems based on policy iteration".NEURAL COMPUTING & APPLICATIONS 28.6(2017):1435-1441.
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