AUV antagonistic tactics study for naval battle based on dynamic game

Na Wei, Mingyong Liu
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引用次数: 4

Abstract

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.
基于动态博弈的水下航行器海战对抗战术研究
针对多自主水下航行器的协同对抗博弈问题,研究了多自主水下航行器的协同攻击动态对策。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。采用粒子群优化算法求解纳什平衡点,获得最优对抗策略。验证了所提出的模型和方法的可行性和有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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