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AUV antagonistic tactics study for naval battle based on dynamic game

机译:基于动态博弈的AUV对抗策略研究

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According to the cooperative antagonism game problem of multi autonomous underwater vehicles(AUVs), multi AUVs cooperative attack dynamic countermeasures are researched. A multi-combat steps dynamic target assignment optimization model is built based on the game theory for multi-strategy autonomous underwater vehicles cooperative attack. Particle swarm optimization (PSO) algorithm is applied to solve the Nash equilibrium point for obtaining optimal antagonistic tactics. It is confirmed that the feasibility and validity of the proposed model and method.
机译:针对多水下机器人的协同对抗博弈问题,研究了多种水下机器人协同攻击的动态对策。基于博弈论,建立了多策略自主水下航行器协同攻击的多战斗步动态目标分配优化模型。应用粒子群算法(PSO)求解纳什均衡点,以获得最优的对抗策略。证实了所提模型和方法的可行性和有效性。

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