Off-policy neuro-optimal control for unknown complex-valued nonlinear systems based on policy iteration | |
Song, Ruizhuo1; Wei, Qinglai2; Xiao, Wendong1 | |
刊名 | NEURAL COMPUTING & APPLICATIONS |
2017-06-01 | |
卷号 | 28期号:6页码:1435-1441 |
关键词 | Adaptive Dynamic Programming Approximate Dynamic Programming Adaptive Critic Designs Optimal Control |
DOI | 10.1007/s00521-015-2144-0 |
文献子类 | Article |
英文摘要 | 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. |
WOS关键词 | OPTIMAL TRACKING CONTROL ; CONTINUOUS-TIME SYSTEMS ; MULTIOBJECTIVE OPTIMAL-CONTROL ; ADAPTIVE OPTIMAL-CONTROL ; OPTIMAL-CONTROL SCHEME ; FEEDBACK-CONTROL ; NETWORK ; ALGORITHM ; DYNAMICS ; DESIGN |
WOS研究方向 | Computer Science |
语种 | 英语 |
WOS记录号 | WOS:000403939000019 |
资助机构 | 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) |
内容类型 | 期刊论文 |
源URL | [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 |
推荐引用方式 GB/T 7714 | 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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