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UCAV Formation to Ground Attack Decision Making System in Double-Stochastic Condition

机译:双随机条件下无人战斗机的编队对地攻击决策系统

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In the warfare system, every battle unit must follow their upper, and also have their own decision. For chance in battlefield is transient, uncertain decision-making problems become more and more exigent to be solved in military command and control. This paper establishes an opposed dynamic uncertain decision-making model for unmanned combat air vehicle ( which called UCAV) formation attack to ground, and put forward a duple-stochastic-influence-factor, which reflects the uncertain influence on battle unit, and establishes a duple-stochastic opposed decision-making model in anticipant value and in correlative chance way farther to get strategy equilibrium. Simulation results show that the model disposes the duple-stochastic status in battlefield reasonably, analyzes the fighting results of multiagent objectively. The method proposed in this paper is practical and effective, and has a good future in its application.
机译:在战争系统中,每个战斗单位都必须遵循自己的上级,也要有自己的决定。由于战场上的机会是短暂的,不确定的决策问题变得越来越迫切地需要在军事指挥与控制中解决。建立了无人作战飞机编队对地攻击的动态对立动态不确定决策模型,提出了一种双重随机影响因子,反映了对作战部队的不确定性影响,建立了对策。具有预期价值和相关机会的双随机对立决策模型更能达到策略均衡。仿真结果表明,该模型合理配置了战场上的双随机状态,客观地分析了多主体的战斗结果。本文提出的方法是实用有效的,在其应用方面具有良好的发展前景。

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