This paper studies the distributed consensus control problem for a class of leader-follower multi-agent systems with double integrator dynamics by using an iterative learning approach. Consensus errors of individual agents are considered as the anticipation in time and a distributed iterative learning protocol for an undirected networks with a fixed topology is proposed to guarantee that the follower agents track the leader perfectly in finite time. The dynamic of the leader agent is assumed to be time-varying and its state information is available to only a portion of the followers. A sufficient condition is obtained for the consensus control problem of the multiagent system, and a numerical example is provided to show the effectiveness of the proposed method.


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    Titel :

    Consensus control for a class of second-order multi-agent systems: An iterative learning approach


    Beteiligte:
    Shi, Jiantao (Autor:in) / He, Xiao (Autor:in) / Wang, Zidong (Autor:in) / Zhou, D. H. (Autor:in)


    Erscheinungsdatum :

    01.05.2013


    Format / Umfang :

    197090 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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