Consensus control via iterative learning for distributed parameter models multi-agent systems with time-delay

被引：72

作者：

Dai, Xisheng ^{[1
]}

Wang, Cun ^{[1
]}

Tian, Senping ^{[2
]}

Huang, Qingnan ^{[1
]}

机构：

[1] Guangxi Univ Sci & Technol, Sch Elect & Informat Engn, Liuzhou 545006, Peoples R China

[2] South China Univ Technol, Sch Automat Sci & Engn, Guangzhou 510640, Guangdong, Peoples R China

来源：

JOURNAL OF THE FRANKLIN INSTITUTE-ENGINEERING AND APPLIED MATHEMATICS | 2019年 / 356卷 / 10期

基金：

中国国家自然科学基金;

关键词：

CONTROL DESIGN; BOUNDARY CONTROL; NETWORKS; TOPOLOGY;

D O I：

10.1016/j.jfranklin.2019.05.015

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

Most of the available results of iterative learning control (ILC) are that solve the consensus problem of lumped parameter models multi-agent systems. This paper considers the consensus control problem of distributed parameter models multi-agent systems with time-delay. By using the knowledge between neighboring agents, considering time-delay problem in the multi-agent systems, a distributed P-type iterative learning control protocol is proposed. The consensus error between any two agents in the sense of L-2 norm can converge to zero after enough iterations based on proposed ILC law. And then we extend these conclusions to Lipschitz nonlinear case. Finally, the simulation result shows the effectiveness of the control method. (C) 2019 Published by Elsevier Ltd on behalf of The Franklin Institute.

引用

页码：5240 / 5259

页数：20

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