• DocumentCode
    582649
  • Title

    Global stochastic exponential consensus of multi-agent networks

  • Author

    Liu, Weikai

  • Author_Institution
    Sch. of Sci., Wuhan Inst. of Technol., Wuhan, China
  • fYear
    2012
  • fDate
    25-27 July 2012
  • Firstpage
    6456
  • Lastpage
    6460
  • Abstract
    In this paper, focused on the influence of noise, global stochastic exponential consensus seeking problem is considered for networked agents on general connected digraphs. The stochastic noises are assumed to be Wiener processes that affect not only the network coupling but also the overall network. Based on algebraic graph theory and stochastic analysis techniques, a novel general criteria for global almost sure exponential consensus is established. It is shown that that global consensus can be achieved almost surely over general digraph under certain coupling strength and noise conditions. Finally, one example with numerical simulation is worked out for illustration.
  • Keywords
    directed graphs; multi-agent systems; network theory (graphs); numerical analysis; stochastic processes; algebraic graph theory; general connected digraph; global stochastic exponential consensus seeking problem; multiagent network; network coupling; networked agent; noise condition; noise influence; numerical simulation; stochastic analysis technique; Couplings; Graph theory; Multiagent systems; Network topology; Noise; Stochastic processes; Topology; Multi-agent networks; global stochastic exponential consensus; stochastic coupling; stochastic perturbation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Conference (CCC), 2012 31st Chinese
  • Conference_Location
    Hefei
  • ISSN
    1934-1768
  • Print_ISBN
    978-1-4673-2581-3
  • Type

    conf

  • Filename
    6391071