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首页> 外文会议>Advances in neural networks-ISNN 2009 >Hybrid Game Theory and D-S Evidence Approach to Multiple UCAVs Cooperative Air Combat Decision
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Hybrid Game Theory and D-S Evidence Approach to Multiple UCAVs Cooperative Air Combat Decision

机译：多种UCAV协同空战决策的混合博弈理论和D-S证据方法

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摘要

Mission decision-making is one of the most important techniques forrncooperative combat of multiple unmanned combat aerial vehicles (UCAVs), while game theory is an efficient method in solving mission decision-making. In this paper, the game theory is applied to the air combat decision of multiple UCAVs. Then a weapon model for UCAVs' air-to-air missiles is proposed to obtain the basic probability value of the D-S evidence theory. In order to obtain the Nash equilibrium point, the bimatrix problem is transferred into an optimization problem. In this way, the function "linprog" in MATLAB can be used to obtain the optimal solution, which can greatly simplify the steps of solving the bimatrix problem. Finally, the optimal strategy is obtained by optimizing calculation. Series of experimental results demonstrate the feasibility and effectiveness of the proposed approach in solving the multiple UCAVs cooperative air combat decision problem.
机译：任务决策是多种无人机作战合作最重要的技术之一，而博弈论是解决任务决策的有效方法。本文将博弈论应用于多种UCAV的空战决策中。然后提出了无人飞行器空空导弹武器模型，以求得D-S证据理论的基本概率值。为了获得纳什均衡点，将双矩阵问题转化为最优化问题。这样，可以使用MATLAB中的函数“ linprog”来获得最佳解，从而可以大大简化求解双矩阵问题的步骤。最后，通过优化计算获得最优策略。系列实验结果证明了该方法在解决多架UCAV协同空战决策问题上的可行性和有效性。

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