• DocumentCode
    3307417
  • Title

    Multi-agent Stochastic Systems with Switched Topology and Noise

  • Author

    Amelin, Konstantin ; Amelina, Natalia ; Granichin, Oleg ; Granichina, Olga

  • Author_Institution
    Fac. of Math. & Mech., St.-Petersburg State Univ., St. Petersburg, Russia
  • fYear
    2012
  • fDate
    8-10 Aug. 2012
  • Firstpage
    438
  • Lastpage
    443
  • Abstract
    In this paper the multi-agent stochastic systems are considered under randomly switched agents communications topology and noisy information about the current states of neighbouring agents. We study the consensus problem for such systems when controls actions are formed by the local voting protocol (stochastic approximation type algorithm). This protocol is applied to the load balancing distributed computer system and to the system of Unnamed Aerial Vehicles (the UAVs system). Obtained results are important for the control properties analysis of production or logistic networks, multiprocessor or multicomputer networks, etc.
  • Keywords
    autonomous aerial vehicles; multi-agent systems; resource allocation; stochastic systems; UAV system; control properties analysis; load balancing distributed computer system; local voting protocol; logistic networks; multiagent stochastic systems; multicomputer networks; multiprocessor networks; neighbouring agents; noisy information; production networks; randomly switched agents communications topology; unnamed aerial vehicles; Approximation methods; Eigenvalues and eigenfunctions; Laplace equations; Network topology; Protocols; Topology; Vectors; approximate consensus; consensus problem; multi-agent stochastic systems;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Software Engineering, Artificial Intelligence, Networking and Parallel & Distributed Computing (SNPD), 2012 13th ACIS International Conference on
  • Conference_Location
    Kyoto
  • Print_ISBN
    978-1-4673-2120-4
  • Type

    conf

  • DOI
    10.1109/SNPD.2012.12
  • Filename
    6299318