中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
A Data-Based Feedback Relearning Algorithm for Uncertain Nonlinear Systems

文献类型:期刊论文

作者Chaoxu Mu; Yong Zhang; Guangbin Cai; Ruijun Liu; Changyin Sun
刊名IEEE/CAA Journal of Automatica Sinica
出版日期2023
卷号10期号:5页码:1288-1303
关键词Data episodes experience replay neural networks reinforcement learning (RL) uncertain systems
ISSN号2329-9266
DOI10.1109/JAS.2023.123186
英文摘要In this paper, a data-based feedback relearning algorithm is proposed for the robust control problem of uncertain nonlinear systems. Motivated by the classical on-policy and off-policy algorithms of reinforcement learning, the online feedback relearning (FR) algorithm is developed where the collected data includes the influence of disturbance signals. The FR algorithm has better adaptability to environmental changes (such as the control channel disturbances) compared with the off-policy algorithm, and has higher computational efficiency and better convergence performance compared with the on-policy algorithm. Data processing based on experience replay technology is used for great data efficiency and convergence stability. Simulation experiments are presented to illustrate convergence stability, optimality and algorithmic performance of FR algorithm by comparison.
源URL[http://ir.ia.ac.cn/handle/173211/51562]  
专题自动化研究所_学术期刊_IEEE/CAA Journal of Automatica Sinica
推荐引用方式
GB/T 7714
Chaoxu Mu,Yong Zhang,Guangbin Cai,et al. A Data-Based Feedback Relearning Algorithm for Uncertain Nonlinear Systems[J]. IEEE/CAA Journal of Automatica Sinica,2023,10(5):1288-1303.
APA Chaoxu Mu,Yong Zhang,Guangbin Cai,Ruijun Liu,&Changyin Sun.(2023).A Data-Based Feedback Relearning Algorithm for Uncertain Nonlinear Systems.IEEE/CAA Journal of Automatica Sinica,10(5),1288-1303.
MLA Chaoxu Mu,et al."A Data-Based Feedback Relearning Algorithm for Uncertain Nonlinear Systems".IEEE/CAA Journal of Automatica Sinica 10.5(2023):1288-1303.

入库方式: OAI收割

来源:自动化研究所

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