• DocumentCode
    2665006
  • Title

    Control of multi-agent formation with optimally persistent graph

  • Author

    Shao, Shikai ; Luo, Xiaoyuan ; Jin, Tao ; Guan, Xinping

  • Author_Institution
    Inst. of Electr. Eng., Yanshan Univ., Qinhuangdao, China
  • fYear
    2012
  • fDate
    23-25 May 2012
  • Firstpage
    152
  • Lastpage
    157
  • Abstract
    In this paper, a distributed control law for optimally persistent formation of leader-follower multi-agent systems is presented. According to the characteristic of optimally persistent formation, each follower, except the one which follows the leader, can only communicate with its two precedent neighbors. Based on the state information received from neighbors, a scalable gradient-like control law is designed to control the motion of the formation. Through using this control law, any three agents that are not in a line can achieve a stable triangular persistent formation. Extend this implementation to the whole formation, thus each agent will keep desired distance constraints to its two precedent neighbors. Finally, simulation examples are illustrated to show the efficiency of the proposed control law.
  • Keywords
    control system synthesis; decentralised control; distributed control; graph theory; mobile robots; motion control; multi-agent systems; multi-robot systems; optimal control; position control; distance constraints; distributed control law; leader-follower multiagent systems; motion control; multiagent formation control; optimal persistent graph; precedent neighbors; scalable gradient control law; stable triangular persistent formation; state information; Distributed control; Educational institutions; Lead; Multiagent systems; Sensors; Shape; Leader-follower; Multi-agent systems; Persistent formation; Rigid graph;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control and Decision Conference (CCDC), 2012 24th Chinese
  • Conference_Location
    Taiyuan
  • Print_ISBN
    978-1-4577-2073-4
  • Type

    conf

  • DOI
    10.1109/CCDC.2012.6244023
  • Filename
    6244023