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Hybrid Game Theory and D-S Evidence Approach to Multiple UCAVs Cooperative Air Combat Decision

机译：混合博弈论和D-S对多种UCAVS合作空战决策的方法

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Mission decision-making is one of the most important techniques for cooperative 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：使命决策是多个无人战斗机（UCAV）的合作战斗中最重要的技术之一，而游戏理论是解决任务决策的有效方法。在本文中，博弈论应用于多个UCAV的空战决策。然后提出了UCAVS的空对空导弹的武器模型，以获得D-S证据理论的基本概率值。为了获得纳什均衡点，BiMatrix问题被转移到优化问题中。通过这种方式，MATLAB中的“LINPROG”功能可用于获得最佳解决方案，这可以大大简化解决BIMATrix问题的步骤。最后，通过优化计算获得最佳策略。一系列实验结果表明，拟议方法解决多功能合作空战决策问题的可行性和有效性。

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