CASIA OpenIR  > 复杂系统管理与控制国家重点实验室  > 平行控制
Off-policy neuro-optimal control for unknown complex-valued nonlinear systems based on policy iteration
Song, Ruizhuo1; Wei, Qinglai2; Xiao, Wendong1
Source PublicationNEURAL COMPUTING & APPLICATIONS
2017-06-01
Volume28Issue:6Pages:1435-1441
SubtypeArticle
AbstractThis 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.
KeywordAdaptive Dynamic Programming Approximate Dynamic Programming Adaptive Critic Designs Optimal Control
WOS HeadingsScience & Technology ; Technology
DOI10.1007/s00521-015-2144-0
WOS KeywordOPTIMAL TRACKING CONTROL ; CONTINUOUS-TIME SYSTEMS ; MULTIOBJECTIVE OPTIMAL-CONTROL ; ADAPTIVE OPTIMAL-CONTROL ; OPTIMAL-CONTROL SCHEME ; FEEDBACK-CONTROL ; NETWORK ; ALGORITHM ; DYNAMICS ; DESIGN
Indexed BySCI
Language英语
Funding OrganizationNational 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 Research AreaComputer Science
WOS SubjectComputer Science, Artificial Intelligence
WOS IDWOS:000403939000019
Citation statistics
Cited Times:1[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/13640
Collection复杂系统管理与控制国家重点实验室_平行控制
Affiliation1.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
Recommended Citation
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.
Files in This Item:
There are no files associated with this item.
Related Services
Recommend this item
Bookmark
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Song, Ruizhuo]'s Articles
[Wei, Qinglai]'s Articles
[Xiao, Wendong]'s Articles
Baidu academic
Similar articles in Baidu academic
[Song, Ruizhuo]'s Articles
[Wei, Qinglai]'s Articles
[Xiao, Wendong]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Song, Ruizhuo]'s Articles
[Wei, Qinglai]'s Articles
[Xiao, Wendong]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.
 

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.