• DocumentCode
    2499003
  • Title

    Research on global consensus problem of scalable swarm system

  • Author

    Chen, Shiming ; Zhu, Qixin ; Pei, Huiqin

  • Author_Institution
    Sch. of Electr. & Electron. Eng., East China JiaoTong Univ., Nanchang
  • fYear
    2008
  • fDate
    25-27 June 2008
  • Firstpage
    8030
  • Lastpage
    8034
  • Abstract
    In this paper we study the consensus problem of scalable swarm system. We have proposed the two-layer emergent model of scalable swarm system in which the first layer we called individual neighbor layer describes the individual flocking behavior to its local goal position, and the second swarm layer describes the emergent aggregating behavior of swarm system. Here we extend the work to specify the global consensus problem of the swarm model based on Lyapunov stability theory, and study the fault-tolerance ability of the scalable swarming behavior.
  • Keywords
    Lyapunov methods; artificial intelligence; fault tolerance; stability; Lyapunov stability theory; fault-tolerance ability; global consensus problem; individual flocking behavior; scalable swarm system; two-layer emergent model; Automation; Electronic mail; Fault tolerance; Intelligent control; Lyapunov method; consensus problem; fault-tolerance analysis; scalable swarm model;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control and Automation, 2008. WCICA 2008. 7th World Congress on
  • Conference_Location
    Chongqing
  • Print_ISBN
    978-1-4244-2113-8
  • Electronic_ISBN
    978-1-4244-2114-5
  • Type

    conf

  • DOI
    10.1109/WCICA.2008.4594184
  • Filename
    4594184