CONSENSUS PROBLEM WITH A REFERENCE STATE FOR FRACTIONAL-ORDER MULTI-AGENT SYSTEMS

被引：9

作者：

Bai, Jing ^{[1
]}

Wen, Guoguang ^{[2
]}

Rahmani, Ahmed ^{[3
]}

Yu, Yongguang ^{[2
]}

机构：

[1] Univ Sci & Technol, Sch Math & Phys, Beijing 100083, Peoples R China

[2] Beijing Jiaotong Univ, Dept Math, Beijing 100044, Peoples R China

[3] Ecole Centrale Lille, CRIStAL, UMR CNRS 9189, F-59650 Villeneuve Dascq, France

来源：

ASIAN JOURNAL OF CONTROL | 2017年 / 19卷 / 03期

基金：

中国国家自然科学基金;

关键词：

Consensus tracking; fractional-order; multi-agent systems; convergence speeds; NEURAL-NETWORKS; SYNCHRONIZATION; COORDINATION;

D O I：

10.1002/asjc.1427

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 paper, the consensus problem of fractional-order multi-agent systems with a reference state is studied under fixed directed communication graph. At the beginning, the convergence speeds of fractional-order multi-agent systems are investigated based on the Mittag-Leffler function. Then, a common consensus control law and a consensus control law based on error predictor are proposed, and it is shown that the consensus tracking can be achieved using the above control laws when a communication graph has a directed spanning tree. Finally, the convergence speeds of fractional-order systems are compared, and it is discovered that the convergence of systems is faster using the control law based on error predictor than using the common one.

引用

页码：1009 / 1018

页数：10

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