The problem of distributed cooperative control for networked multiagent systems is investigated in this paper. Each agent is modeled as an uncertain nonlinear high-order system incorporating with model uncertainty, unknown external disturbance, and actuator fault. The communication network between followers can be an undirected or a directed graph, and only some of the follower agents can obtain the commands from the leader. To develop the distributed cooperative control algorithm, a prefilter is designed, which can derive the state-space representation to a newly constructed plant. Then, a set of distributed adaptive neural network controllers are designed by making certain modifications on traditional backstepping techniques with the aid of adaptive control, neural network control, and a second-order sliding mode estimator. Rigorous proving procedures are provided,which show that uniform ultimate boundedness of all the tracking errors can be achieved in a networked multiagent system. Finally, a numerical simulation is carried out to evaluate the theoretical results.


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    Title :

    Estimator-based adaptive neural network control of leader-follower high-order nonlinear multiagent systems with actuator faults


    Contributors:
    Zhou, Ning (author) / Chen, Riqing (author) / Xia, Yuanqing (author) / Huang, Jie (author)

    Publication date :

    2017-12-25


    Remarks:

    Zhou , N , Chen , R , Xia , Y & Huang , J 2017 , ' Estimator-based adaptive neural network control of leader-follower high-order nonlinear multiagent systems with actuator faults ' , Concurrency and Computation: Practice and Experience , vol. 29 , no. 24 , e4225 . https://doi.org/10.1002/cpe.4225



    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English


    Classification :

    DDC:    629



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