Event-based consensus of multi-agent systems with general linear models

Wei Zhu, Zhong Ping Jiang, Gang Feng

Research output: Contribution to journalArticlepeer-review

Abstract

In this paper, the event-based consensus problem of general linear multi-agent systems is considered. Two sufficient conditions with or without continuous communication between neighboring agents are presented to guarantee the consensus. The advantage of the event-based strategy is the significant decrease of the number of controller updates for cooperative tasks of multi-agent systems involving embedded microprocessors with limited on-board resources. The controller updates of each agent are driven by properly defined events, which depend on the measurement error, the states of its neighboring agents and an arbitrarily small threshold. It is shown that the controller updates for each agent only trigger at its own event time instants. A simulation example is presented to illustrate the theoretical results.

Original languageEnglish (US)
Pages (from-to)552-558
Number of pages7
JournalAutomatica
Volume50
Issue number2
DOIs
StatePublished - Feb 2014

Keywords

  • Event-based consensus
  • General linear systems
  • Multi-agent systems

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Electrical and Electronic Engineering

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