摘要
不确定环境下多无人机空战决策问题已成为无人机作战系统的一个重要研究课题。首先通过分析无人机空战态势信息的不确定性,建立模糊信息下的多无人机动态博弈的作战优势函数;将动态扩展式博弈转化成静态策略式博弈,构建基于模糊信息的双方博弈的支付矩阵。将模糊结构元方法和粒子群算法相结合,给出模糊信息下动态博弈的混合战略的纳什均衡求解方法。最后通过仿真实验验证了该方法的可行性和有效性。
The air combat decision making of multiple UAVs in uncertain environment has become an important research subject in UAV combat system .The uncertainty of UAV air combat situation information was analyzed,and the combat dominant function of UAVs was built up based on fuzzy information .The dynamic expansion game was transferred into a static strategy game,and the payoff matrix of the two sides of game was constructed based on the fuzzy information .A Nash equilibrium solution method of mixed strategy game strategy with fuzzy information was proposed by using the fuzzy structure element method together with particle swarm algorithm （ PSO） .Simulation results show the feasibility and effectiveness of the method .
出处
《电光与控制》
北大核心
2014年第6期19-23,34,共6页
Electronics Optics & Control
基金
国家自然科学基金(61074159)
辽宁省自然科学基金(20092053)
关键词
多无人机
空战决策
优势函数
动态博弈
纳什均衡
multiple UAVs
air combat decision-making
dominant function
dynamic game
Nash equilibrium
