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![]() |
刊名 | CHINESE PHYSICS B
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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
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