• DocumentCode
    2823815
  • Title

    Biologically inspired flocking of swarms with dynamic topology in uniform environments

  • Author

    Li, Xiaohai ; Cai, Zhijun ; Xiao, Jizhong

  • Author_Institution
    City Univ. of New York, New York
  • fYear
    2007
  • fDate
    12-14 Dec. 2007
  • Firstpage
    2522
  • Lastpage
    2527
  • Abstract
    In this paper, we present a biologically inspired general controller for a swarm of mobile agents with dynamic topology moving in a given environment. Based on some observations and hypothesis about the natural phenomena of swarming, we propose a general decentralized controller for the swarm members to achieve the collective group behavior. We assume that during swarm´s motion, each agent can sense and interact with its nearest neighbors while following the path clues of the environment. Under the assumptions of connected graph and uniform environment that has identical effect on all agents, the controller is proved to enable the velocity vectors of all agents to converge to a common value. The advantage of this general controller is that all information it needs can be locally sensed, therefore, communication link and related issues (such as time delay) are avoided. Simulations are presented to verify the proposed controller.
  • Keywords
    decentralised control; graph theory; biologically inspired flocking; connected graph; decentralized controller; dynamic topology; mobile agents; swarm members; uniform environment; Biological control systems; Biological system modeling; Communication system control; Educational institutions; Lagrangian functions; Marine animals; Mobile agents; Nearest neighbor searches; Topology; Velocity control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Decision and Control, 2007 46th IEEE Conference on
  • Conference_Location
    New Orleans, LA
  • ISSN
    0191-2216
  • Print_ISBN
    978-1-4244-1497-0
  • Electronic_ISBN
    0191-2216
  • Type

    conf

  • DOI
    10.1109/CDC.2007.4434572
  • Filename
    4434572