In this paper, the finite-time differential game problem for a class of affine nonlinear system is investigated via adaptive dynamic programming(ADP). The cost function and optimal control strategy are found by solving the finite-time differential game problem via ADP technique combining a novel speed function. The single critic network is constructed to approximate the solution of associated Hamilton-Jacobi-Isaacs (HJI) equation online. The Lyapunov’s direct method is utilized to demonstrate the closed-loop finite-time system and the estimation weight error of the critic network are uniformly ultimately bounded(UUB). Finally, simulation results are given to verify theoretical claims.


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    Titel :

    Finite-time Differential Game for Nonlinear Systems Using Adaptive Dynamic Programming


    Beteiligte:
    Chen, Yanni (Autor:in) / Liu, Chunsheng (Autor:in) / Sun, Jingliang (Autor:in)


    Erscheinungsdatum :

    01.08.2018


    Format / Umfang :

    184831 byte




    Medientyp :

    Aufsatz (Konferenz)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch






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