Game theory can be applied to the air combat decision-making problem of multiple unmanned combat air vehicles (UCAVs). However, it is difficult to have satisfactory decision-making results completely relying on air combat situation information, because there is a lot of time-sensitive information in a complex air combat environment. In this paper, a constraint strategy game approach is developed to generate intelligent decision-making for multiple UCAVs in complex air combat environment with air combat situation information and time-sensitive information. Initially, a constraint strategy game is employed to model attack-defense decision-making problem in complex air combat environment. Then, an algorithm is proposed for solving the constraint strategy game based on linear programming and linear inequality (CSG-LL). Finally, an example is given to illustrate the effectiveness of the proposed approach.

博弈论可以应用于多架无人作战飞行器（UCAV）的空战决策问题。然而，完全依靠空战态势信息很难得到满意的决策结果，因为在复杂的空战环境中存在大量时效性信息。在本文中，开发了一种约束策略博弈方法，用于在具有空战态势信息和时间敏感信息的复杂空战环境中为多架 UCAV 生成智能决策。最初，采用约束策略博弈对复杂空战环境中的攻防决策问题进行建模。然后，提出了一种基于线性规划和线性不等式的约束策略博弈求解算法（CSG-LL）。最后，