中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Off-policy integral reinforcement learning optimal tracking control for continuous-time chaotic systems

文献类型:期刊论文

作者Wei Qing-Lai1; Song Rui-Zhuo2; Sun Qiu-Ye3; Xiao Wen-Dong2
刊名CHINESE PHYSICS B
出版日期2015-09-01
卷号24期号:9
关键词adaptive dynamic programming approximate dynamic programming chaotic system optimal tracking control
英文摘要This paper estimates an off-policy integral reinforcement learning (IRL) algorithm to obtain the optimal tracking control of unknown chaotic systems. Off-policy IRL can learn the solution of the HJB equation from the system data generated by an arbitrary control. Moreover, off-policy IRL can be regarded as a direct learning method, which avoids the identification of system dynamics. In this paper, the performance index function is first given based on the system tracking error and control error. For solving the Hamilton-Jacobi-Bellman (HJB) equation, an off-policy IRL algorithm is proposed. It is proven that the iterative control makes the tracking error system asymptotically stable, and the iterative performance index function is convergent. Simulation study demonstrates the effectiveness of the developed tracking control method.
WOS标题词Science & Technology ; Physical Sciences
类目[WOS]Physics, Multidisciplinary
研究领域[WOS]Physics
关键词[WOS]ATTRACTOR ; DYNAMICS ; DESIGN
收录类别SCI
语种英语
WOS记录号WOS:000363325200021
公开日期2016-02-26
源URL[http://ir.ia.ac.cn/handle/173211/10493]  
专题自动化研究所_复杂系统管理与控制国家重点实验室_智能化团队
作者单位1.Chinese Acad Sci, Inst Automat, State Key Lab Management & Control Complex Syst, Beijing 100190, Peoples R China
2.Univ Sci & Technol, Sch Automat & Elect Engn, Beijing 100083, Peoples R China
3.Northeastern Univ, Sch Informat Sci & Engn, Shenyang 110004, Peoples R China
推荐引用方式
GB/T 7714
Wei Qing-Lai,Song Rui-Zhuo,Sun Qiu-Ye,et al. Off-policy integral reinforcement learning optimal tracking control for continuous-time chaotic systems[J]. CHINESE PHYSICS B,2015,24(9).
APA Wei Qing-Lai,Song Rui-Zhuo,Sun Qiu-Ye,&Xiao Wen-Dong.(2015).Off-policy integral reinforcement learning optimal tracking control for continuous-time chaotic systems.CHINESE PHYSICS B,24(9).
MLA Wei Qing-Lai,et al."Off-policy integral reinforcement learning optimal tracking control for continuous-time chaotic systems".CHINESE PHYSICS B 24.9(2015).

入库方式: OAI收割

来源:自动化研究所

浏览0
下载0
收藏0
其他版本

除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。