Consensus of Linear Multi-Agent Systems by Distributed Event-Triggered Strategy

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review

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Original languageEnglish
Pages (from-to)148-157
Journal / PublicationIEEE Transactions on Cybernetics
Issue number1
Online published13 Feb 2015
Publication statusPublished - Jan 2016


This paper studies the consensus problem of multi-agent systems with general linear dynamics. We propose a novel event-triggered control scheme with some desirable features, namely, distributed, asynchronous, and independent. It is shown that consensus of the controlled multi-agent system can be reached asymptotically. The feasibility of the event-triggered strategy is further verified by the exclusion of both singular triggering and Zeno behavior. Moreover, a self-triggered algorithm is developed, where the next triggering time instant for each agent is determined based on its local information at the previous triggering time instant. Continuous monitoring of measurement errors is thus avoided. The effectiveness of the proposed control schemes is demonstrated by two examples.

Research Area(s)

  • Consensus, event-triggered control, general linear dynamics, multi-agent systems