• DocumentCode
    2958023
  • Title

    Stable flocking of swarms using local information

  • Author

    Li, Xiaohai ; Xiao, Jizong ; Cai, Zhijun

  • Author_Institution
    Dept. of Electr. Eng., City Univ. of New York, NY, USA
  • Volume
    4
  • fYear
    2005
  • fDate
    10-12 Oct. 2005
  • Firstpage
    3921
  • Abstract
    In this paper, we investigate the mechanism of the phenomena of swarm flocking, which can be widely observed in such as schooling fish and flocking migrate birds in nature. By combining the ideas of virtual force and nearest neighborhood law, we propose a decentralized controller to explain such phenomena. This decentralized controller can enable all swarm members to converge to a common velocity with bounded errors, no matter the swarm topology is fixed or dynamic. The advantage of this controller is that it just needs local information to achieve the stable group behavior. Simulation results are included to verify the proposed controller.
  • Keywords
    decentralised control; self-adjusting systems; bounded error; decentralized control; fish schooling; local information; migrate bird flocking; nearest neighborhood law; self-organized group behavior; swarm flocking; swarm topology; virtual force; Biological system modeling; Birds; Educational institutions; Force control; Lagrangian functions; Marine animals; Mathematical model; Mechanical engineering; Stochastic processes; Topology; decentralized control; self-organized group behavior; swarms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Systems, Man and Cybernetics, 2005 IEEE International Conference on
  • Print_ISBN
    0-7803-9298-1
  • Type

    conf

  • DOI
    10.1109/ICSMC.2005.1571758
  • Filename
    1571758