Self-triggered output feedback control for consensus of multi-agent systems

被引：10

作者：

Wu, Miaomiao ^{[1
]}

Zhang, Hao ^{[1
]}

Yan, Huaicheng ^{[2
,3
]}

Ren, Hongliang ^{[4
]}

机构：

[1] Tongji Univ, Dept Control Sci & Engn, Shanghai 200092, Peoples R China

[2] Minist Educ, Key Lab Adv Control & Optimizat Chem Proc, Shanghai 200237, Peoples R China

[3] E China Univ Sci & Technol, Sch Informat Sci & Engn, Shanghai 200237, Peoples R China

[4] Natl Univ Singapore, Dept Biomed Engn, Singapore 117575, Singapore

来源：

NEUROCOMPUTING | 2016年 / 190卷

基金：

中国国家自然科学基金;

关键词：

Multi-agent systems; Consensus; Self-triggered control; Output feedback;

D O I：

10.1016/j.neucom.2016.01.019

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 studies the self-triggered control consensus problem of general linear multi-agent systems (MASs). A novel self-triggered control strategy based on output feedback is proposed for centralized and distributed cases, respectively. In consideration of the states of agents that are not available, a state observer is adopted. A dynamic observer-based control law is employed to improve the transient response. Under this triggering strategy, both the estimated states of MASs and the states of controller are updated at triggering time. The next triggering time is predetermined at the last triggering instant. Moreover, the asymptotic consensus of MASs can be guaranteed. Finally, the effectiveness of the proposed control strategy is illustrated by a numerical example. (C) 2016 Elsevier B.V. All rights reserved.

引用

页码：179 / 187

页数：9

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