• DocumentCode
    3539471
  • Title

    Asymptotic consensus solutions in non-linear delayed distributed algorithms under deterministic & stochastic perturbations

  • Author

    Somarakis, Christoforos ; Baras, John S.

  • Author_Institution
    Inst. for Syst. Res., Univ. Of Maryland, College Park, MD, USA
  • fYear
    2013
  • fDate
    10-13 Dec. 2013
  • Firstpage
    7821
  • Lastpage
    7826
  • Abstract
    We consider a multi-agent non-linear delayed model which sustains consensus type of solutions. We use fixed point theory arguments to establish sufficient conditions for existence and uniqueness of solutions that converge exponentially fast to a common value with prescribed rate. The conditions depend on the communication topology, the nonlinearity of the model as well as the delay in the propagation of information. Furthermore we test the robustness of our results in the presence of independent time varying perturbations both deterministic and stochastic.
  • Keywords
    distributed algorithms; graph theory; multi-agent systems; stochastic processes; asymptotic consensus solutions; communication topology; exponential converge; fixed-point theory arguments; independent time varying deterministic perturbations; independent time varying stochastic perturbations; information propagation delay; model nonlinearity; multiagent nonlinear delayed model; nonlinear delayed distributed algorithms; sufficient conditions; Convergence; Delays; Extraterrestrial measurements; Heuristic algorithms; Random variables; Stochastic processes;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control (CDC), 2013 IEEE 52nd Annual Conference on
  • Conference_Location
    Firenze
  • ISSN
    0743-1546
  • Print_ISBN
    978-1-4673-5714-2
  • Type

    conf

  • DOI
    10.1109/CDC.2013.6761131
  • Filename
    6761131