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Impulsive consensus of multi-agent directed networks with nonlinear perturbations

Wenjun Xiong, Daniel W. C. Ho, Jinde Cao

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

Abstract

This paper investigates the consensus problem of a multi-agent directed network with nonlinear perturbations (MNNP). Our main objective is to study how the nonlinear perturbations affect a consensus of a multi-agent network. Based on a reduced-order transformation, it is shown that an MNNP cannot reach a consensus under a hypothesis even though the discussed network has a spanning tree. The hypothesis shows a detailed relationship between the nonlinear perturbations and the structure of the multi-agent network. An impulsive approach is then introduced, and a simple criterion is presented to guarantee the consensus of all agents for an MNNP. Finally, a numerical example is provided to illustrate the effectiveness of the obtained criterion. Copyright © 2011 John Wiley & Sons, Ltd. Copyright © 2011 John Wiley & Sons, Ltd.
Original languageEnglish
Pages (from-to)1571-1582
JournalInternational Journal of Robust and Nonlinear Control
Volume22
Issue number14
DOIs
Publication statusPublished - 25 Sept 2012

Research Keywords

  • consensus
  • impulsive system
  • Laplacian matrix
  • multi-agent directed networks
  • nonlinear perturbation

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