Leader-following consensus of a class of stochastic delayed multi-agent systems with partial mixed impulses

Yang Tang, Huijun Gao, Wenbing Zhang, Jurgen Kurths

Research output: Contribution to journalArticle

182 Citations (Scopus)

Abstract

In this paper, the exponential leader-following consensus problem is investigated for a class of nonlinear stochastic networked multi-agent systems with partial mixed impulses and unknown time-varying but bounded delays. The main feature of partial mixed impulses is that time-varying impulses are not only composed of synchronizing and desynchronizing impulses simultaneously but they are also injected into a fraction of nodes in multi-agent systems. Three kinds of partial mixed impulses are proposed: fixed partial mixed impulses, periodic partial mixed impulses, and try-once-discard-like partial mixed impulses. By means of the Lyapunov function theory and the comparison principle, conditions are derived for ensuring global exponential leader-following consensus under the presented three kinds of partial mixed impulses. Simulations of leader-following consensus of robotic systems are provided to validate the effectiveness of the proposed results and to show the advantages of the proposed partial mixed impulses.
Original languageEnglish
Pages (from-to)346-354
Number of pages9
JournalAutomatica
Volume53
Early online date8 Feb 2015
DOIs
Publication statusPublished - Mar 2015

Keywords

  • leader-following consensus
  • tracking control
  • multi-agent systems
  • complex networks
  • impulsive effects
  • planning control

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