Distributed data-driven optimal synchronisation of multi-agent systems with input saturation

被引:0
|
作者
Cai, Xuan [1 ]
Wang, Gang [2 ]
Liu, Shuxin [1 ]
机构
[1] Shanghai Dianji Univ, Sch Elect Engn, Shanghai 201306, Peoples R China
[2] Univ Shanghai Sci & Technol, Inst Machine Intelligence, Shanghai, Peoples R China
关键词
Multi-agent systems; optimal synchronisation; input saturation; adaptive dynamic programming; value iteration; ADAPTIVE OPTIMAL-CONTROL; GAMES;
D O I
10.1080/00207179.2024.2447570
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper discusses the optimal synchronisation problem of multi-agent systems with unknown system dynamics, where each agent is subject to both input saturation and external disturbances. A novel data-driven control approach is developed in this paper based on low-gain technique, output regulation, differential game theory, and adaptive dynamic programming (ADP). Unlike existing approaches to the data-driven optimal synchronisation problem, our method eliminates the need for an initially admissible stabilising control policy, and the proposed distributed control law ensures asymptotic tracking even in the presence of both modelling disturbances and unmodeled disturbances.
引用
收藏
页数:17
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