• DocumentCode
    1661611
  • Title

    Leader-following consensus of linear multi-agent systems with state-observer under switching topologies

  • Author

    Lixin Gao ; Junwei Li ; Xinjian Zhu ; Wenhai Chen

  • Author_Institution
    Inst. of Intell. Syst. & Decision, Wenzhou Univ., Wenzhou, China
  • fYear
    2012
  • Firstpage
    572
  • Lastpage
    577
  • Abstract
    In this paper, the leader-following consensus problem of higher order multi-agent systems is considered. The dynamics of each agent is given in general form of linear system and the communication topology among the agents is assumed to be undirected and switching. To track the active leader, a distributed observer-based consensus protocol is proposed to each following agent, which is based on the relative outputs of neighboring agents. A sufficient consensus condition is established by used parameter-dependent lyapunov function method under switching communication topologies. Two gain matrices used in the proposed protocol can be constructed by solving the Riccati equation and Sylvester equation respectively. Finally, a simulation example is given to illustrate our obtained result.
  • Keywords
    Lyapunov methods; Riccati equations; centralised control; linear systems; matrix algebra; mobile robots; multi-agent systems; multi-robot systems; observers; protocols; topology; Riccati equation; Sylvester equation; agent dynamics; distributed observer-based consensus protocol; gain matrices; leader-following consensus problem; linear multiagent systems; parameter-dependent Lyapunov function method; state-observer; sufficient consensus condition; switching communication topologies; Lead; Lyapunov methods; Multi-agent systems; Protocols; Switches; Symmetric matrices; Topology; Leader-following Consensus; Multi-agent system; State-observer; Switching topology;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Control Automation Robotics & Vision (ICARCV), 2012 12th International Conference on
  • Conference_Location
    Guangzhou
  • Print_ISBN
    978-1-4673-1871-6
  • Electronic_ISBN
    978-1-4673-1870-9
  • Type

    conf

  • DOI
    10.1109/ICARCV.2012.6485221
  • Filename
    6485221