• DocumentCode
    1797803
  • Title

    Pinning dynamic complex networks by time-varying controller-vertex set

  • Author

    Yujuan Han ; Wenlian Lu ; Tianping Chen

  • Author_Institution
    Sch. of Math. Sci., Fudan Univ., Shanghai, China
  • fYear
    2014
  • fDate
    6-11 July 2014
  • Firstpage
    2726
  • Lastpage
    2731
  • Abstract
    In this paper, we give a stability analysis of multi-agent system with a local pinning control algorithm for very general network topologies. These include determinately directed time varying topologies, the stochastically switching topologies. The pinned vertex set also varies with time, including deterministic and stochastic time-variations. We present sufficient conditions to guarantee the convergence of the pinning process: for the deterministic case, a time-varying pinned vertex set can stabilize the network of multi-agents with time-varying topologies if any vertex in the networks can be accessed by directed paths by at least one vertex in the pinned vertex set across all time intervals that are pre-defined; Similar results are also given for the stochastically switching case. As applications, numerical simulations based on the random waypoint model are given to verify our theoretical results.
  • Keywords
    complex networks; multi-agent systems; time-varying systems; topology; directed time varying topologies; dynamic complex networks; local pinning control algorithm; multi-agent system; stability analysis; stochastically switching topologies; time-varying controller-vertex set; very general network topologies; Couplings; Heuristic algorithms; Network topology; Stability analysis; Stochastic processes; Switches; Topology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Neural Networks (IJCNN), 2014 International Joint Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4799-6627-1
  • Type

    conf

  • DOI
    10.1109/IJCNN.2014.6889628
  • Filename
    6889628