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.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

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


    Contributors:


    Publication date :

    2018-08-01


    Size :

    184831 byte




    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English





    Intelligent Nonlinear Adaptive Flight Control using Incremental Approximate Dynamic Programming

    Dias, Pedro Miguel / Zhou, Ye / Kampen, Erik-Jan Van | TIBKAT | 2019


    Intelligent Nonlinear Adaptive Flight Control using Incremental Approximate Dynamic Programming

    Dias, Pedro Miguel / Zhou, Ye / Van Kampen, Erik-Jan | AIAA | 2019


    Adaptive Optimization for System Performance: Parameterized Differential Dynamic Programming

    Alex Oshin / Matthew D. Houghton / Michael J. Acheson et al. | NTRS