Event-triggered consensus tracking for fractional-order multi-agent systems with general linear models

被引：30

作者：

Ye, Yanyan ^{[1
]}

Su, Housheng ^{[1
]}

Sun, Yaping ^{[1
]}

机构：

[1] Huazhong Univ Sci & Technol, Sch Automat, Image Proc & Intelligent Control Key Lab, Educ Minist China, Luoyu Rd 1037, Wuhan 430074, Hubei, Peoples R China

来源：

NEUROCOMPUTING | 2018年 / 315卷

基金：

中国国家自然科学基金;

关键词：

Consensus tracking; Fractional-order; Multi-agent systems; General linear models; Event-triggered; ADAPTIVE PINNING SYNCHRONIZATION; COMPLEX DYNAMICAL NETWORKS; LEADER-FOLLOWING CONSENSUS; SUFFICIENT CONDITIONS; AGENTS;

D O I：

10.1016/j.neucom.2018.07.024

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Since many practical physical phenomena can be depicted more accurately and suitablely by fractional-order models, this work addresses the event-triggered consensus tracking for the fractional-order multiagent systems (FOMASs) governed by general linear models. Firstly, a distributed event-triggered control algorithm relied on state feedback is derived. Then, according to the Laplace transform, the Mittag-Leffler function, the comparison test of improper integral, and the technique of inequality, some consensus criteria are obtained to ensure all followers can track a dynamic leader and Zeno behavior can be avoided. Lastly, some numerical simulation results are provided to verify the effectiveness of the event-triggered method. (c) 2018 Elsevier B.V. All rights reserved.

引用

页码：292 / 298

页数：7

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