Dynamic Adaptive Event-Triggered Scheme for General Linear Multi-Agent Systems

Wenying Xu; Daniel W.C. Ho; Wangli He

doi:10.1016/j.ifacol.2020.12.2329

Dynamic Adaptive Event-Triggered Scheme for General Linear Multi-Agent Systems

Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review

Overview

5 Scopus Citations

Scopus Metrics

View graph of relations

Author(s)

Related Research Unit(s)

Department of Mathematics

Detail(s)

Original language	English
Pages (from-to)	1789-1794
Journal / Publication	IFAC-PapersOnLine
Volume	53
Issue number	2
Publication status	Published - Nov 2020

Conference

Title	21st IFAC World Congress 2020
Place	Germany
City	Berlin
Period	12 - 17 July 2020

Link(s)

DOI	DOI https://doi.org/10.1016/j.ifacol.2020.12.2329 Final Published version
	Check@CityULib
Attachment(s)	Documents 78761004.pdf Final Published version, 659 KB, PDF Publisher's Copyright Statement This full text is made available under CC-BY-NC-ND 4.0. https://creativecommons.org/licenses/by-nc-nd/4.0/
Link to Scopus	https://www.scopus.com/record/display.uri?eid=2-s2.0-85107780505&origin=recordpage
Permanent Link	https://scholars.cityu.edu.hk/en/publications/publication(e82ed9d4-f721-4731-bf49-01caa373f4e9).html

Abstract

This paper proposes a novel dynamic adaptive event-triggered scheme to deal with consensus problems in a class of general linear multi-agent systems. Firstly, a fully distributed event-triggered consensus protocol is proposed by assigning a time-varying coupling weight for each edge. Then by introducing an additional internal dynamic variable, a dynamic adaptive event condition is skillfully constructed and Zeno behavior is also successfully excluded. Based on this, the asymptotic consensus is eventually achieved and the frequency of communication among agents is significantly reduced. Finally, one simulation example is provided to verify the effectiveness of the proposed scheme.