In this article, we study the two-on-one inertial model pursuit-evasion differential game with a payoff augmentation approach. In particular, the pursuit-evasion game is treated as a deadline game, and its payoff function is augmented to eliminate the deadline as well as to facilitate a more sophisticate model. In addition, we introduce the retrogressive path for analytical solution to the equilibrium strategy for the closed-loop game, and proceed to demonstrate that the closed-loop game can be converted to a one-side optimization problem for the evader, with the help of the augmented payoff function, under an open-loop Stackelberg strategy. More specifically, we establish the conditional equivalency between the open-loop solution and the closed-loop one. Simulation results verify the effectiveness of the proposed strategy.


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    Titel :

    A Payoff Augmentation Approach to Two Pursuers and One Evader Inertial Model Differential Game


    Beteiligte:
    Zhang, Yiqun (Autor:in) / Zhang, Pengfei (Autor:in) / Wang, Xiaodong (Autor:in) / Song, Feng (Autor:in) / Li, Chaoyong (Autor:in)


    Erscheinungsdatum :

    01.04.2023


    Format / Umfang :

    2680688 byte




    Medientyp :

    Aufsatz (Zeitschrift)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch



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