中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Value Iteration-Based Cooperative Adaptive Optimal Control for Multi-Player Differential Games With Incomplete Information

文献类型:期刊论文

作者Yun Zhang; Lulu Zhang; Yunze Cai
刊名IEEE/CAA Journal of Automatica Sinica
出版日期2024
卷号11期号:3页码:690-697
ISSN号2329-9266
关键词Adaptive dynamic programming incomplete information multi-player differential game value iteration
DOI10.1109/JAS.2023.124125
英文摘要This paper presents a novel cooperative value iteration (VI)-based adaptive dynamic programming method for multi-player differential game models with a convergence proof. The players are divided into two groups in the learning process and adapt their policies sequentially. Our method removes the dependence of admissible initial policies, which is one of the main drawbacks of the PI-based frameworks. Furthermore, this algorithm enables the players to adapt their control policies without full knowledge of others’ system parameters or control laws. The efficacy of our method is illustrated by three examples.
源URL[http://ir.ia.ac.cn/handle/173211/54600]  
专题自动化研究所_学术期刊_IEEE/CAA Journal of Automatica Sinica
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Yun Zhang,Lulu Zhang,Yunze Cai. Value Iteration-Based Cooperative Adaptive Optimal Control for Multi-Player Differential Games With Incomplete Information[J]. IEEE/CAA Journal of Automatica Sinica,2024,11(3):690-697.
APA Yun Zhang,Lulu Zhang,&Yunze Cai.(2024).Value Iteration-Based Cooperative Adaptive Optimal Control for Multi-Player Differential Games With Incomplete Information.IEEE/CAA Journal of Automatica Sinica,11(3),690-697.
MLA Yun Zhang,et al."Value Iteration-Based Cooperative Adaptive Optimal Control for Multi-Player Differential Games With Incomplete Information".IEEE/CAA Journal of Automatica Sinica 11.3(2024):690-697.

入库方式: OAI收割

来源:自动化研究所

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