Adaptive iterative learning control for consensus of multi-agent systems

被引：81
作者：
Li, Jinsha [1 ]
Li, Junmin [1 ]
机构：
[1] Xidian Univ, Dept Appl Math, Xian 710071, Peoples R China
来源：
IET CONTROL THEORY AND APPLICATIONS | 2013年 / 7卷 / 01期
基金：
中国国家自然科学基金;
关键词：
FINITE-TIME CONSENSUS; TRACKING CONTROL; LEADER;
D O I：
10.1049/iet-cta.2012.0048
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this study, a new consensus problem is introduced for leader-follower multi-agent systems with non-linearity and a distributed adaptive iterative learning control is presented for the consensus problem. With the dynamic of the leader unknown to any of the agent, the proper protocol guarantees that the follower agents can track the leader. The consensus is analysed based on the Lyapunov stability theory. Finally, simulation examples are given to illustrate the effectiveness of the proposed method in this study.
引用
收藏
页码：136 / 142
页数：7
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