• DocumentCode
    3291779
  • Title

    Cluster synchronization algorithms

  • Author

    Weiguo Xia ; Ming Cao

  • Author_Institution
    Fac. of Math. & Natural Sci., Univ. of Groningen, Groningen, Netherlands
  • fYear
    2010
  • fDate
    June 30 2010-July 2 2010
  • Firstpage
    6513
  • Lastpage
    6518
  • Abstract
    This paper presents two approaches to achieving cluster synchronization in dynamical multi-agent systems. In contrast to the widely studied synchronization behavior, where all the coupled agents converge to the same value asymptotically, in the cluster synchronization problem studied in this paper, we require that all the interconnected agents to evolve into several clusters and each agent only to synchronize within its cluster. The first approach is to add a constant forcing to the dynamics of each agent that are determined by positive diffusive couplings; and the other is to introduce both positive and negative couplings between the agents. Some sufficient and/or necessary conditions are constructed to guarantee n-cluster synchronization behavior. Simulation results are presented to illustrate the effectiveness of the theoretical analysis.
  • Keywords
    multi-agent systems; pattern clustering; synchronisation; cluster synchronization algorithms; dynamical multiagent systems; positive diffusive couplings; Analytical models; Animals; Clustering algorithms; Control systems; Cows; Mathematical model; Mathematics; Multiagent systems; Social network services; Systems engineering and theory;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    American Control Conference (ACC), 2010
  • Conference_Location
    Baltimore, MD
  • ISSN
    0743-1619
  • Print_ISBN
    978-1-4244-7426-4
  • Type

    conf

  • DOI
    10.1109/ACC.2010.5531433
  • Filename
    5531433