Suboptimal linear quadratic tracking control for multi-agent systems

被引:3
|
作者
Yuan, Shuo
Yu, Chengpu [1 ]
Wang, Ping
机构
[1] Beijing Inst Technol, Sch Automat, Beijing 100081, Peoples R China
基金
中国国家自然科学基金;
关键词
Linear quadratic control; Tracking consensus; Distributed control; Multi-agent systems; OUTPUT REGULATION; CONSENSUS; LEADER; PROTOCOLS; TOPOLOGY;
D O I
10.1016/j.neucom.2022.02.057
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This paper investigates the distributed linear quadratic tracking control problem for multi-agent leader-follower systems. Considering that only few followers can access the state information of the leader owing to the limited communication range, a novel distributed control law is designed to make followers convergent to the leader by introducing appropriate interconnections among the followers. Besides the tracking consensus of the leader-follower systems, the designed control law also enables the associated cost to be less than a given tolerance for any initial states of the leader and the followers. The implementation of the designed distributed control law can be executed by solving a single Riccati equation, requiring no global information of the communication topology. Two examples are finally provided to demonstrate the effectiveness of the proposed method. (C) 2022 Elsevier B.V. All rights reserved.
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页码:110 / 118
页数:9
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