首页|Optimal Strategy for Aircraft Pursuit-evasion Games via Self-play Iteration

Optimal Strategy for Aircraft Pursuit-evasion Games via Self-play Iteration

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In this paper,the pursuit-evasion game with state and control constraints is solved to achieve the Nash equilibrium of both the pursuer and the evader with an iterative self-play technique.Under the condition where the Hamiltonian formed by means of Pontryagin's maximum principle has the unique solution,it can be proven that the iterative control law converges to the Nash equilibri-um solution.However,the strong nonlinearity of the ordinary differential equations formulated by Pontryagin's maximum principle makes the control policy difficult to figured out.Moreover the system dynamics employed in this manuscript contains a high dimension-al state vector with constraints.In practical applications,such as the control of aircraft,the provided overload is limited.Therefore,in this paper,we consider the optimal strategy of pursuit-evasion games with constant constraint on the control,while some state vectors are restricted by the function of the input.To address the challenges,the optimal control problems are transformed into nonlinear pro-gramming problems through the direct collocation method.Finally,two numerical cases of the aircraft pursuit-evasion scenario are giv-en to demonstrate the effectiveness of the presented method to obtain the optimal control of both the pursuer and the evader.

Differential gamespursuit-evasion gamesnonlinear controloptimal controlNash equilibrium solution

Xin Wang、Qing-Lai Wei、Tao Li、Jie Zhang

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State Key Laboratory of Management and Control for Complex Systems,Institute of Automation,Chinese Academy of Sciences,Beijing 100190,China

School of Artificial Intelligence,University of Chinese Academy of Sciences,Beijing 100049,China

Institute of Systems Engineering,Macau University of Science and Technology,Macau 999078,China

2024

机器智能研究(英文)
中国科学院自动化所

机器智能研究(英文)

CSTPCDEI
影响因子:0.49
ISSN:2731-538X
年,卷(期):2024.21(3)
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