摘要
通过分析实际战场中目标价值和毁伤概率信息的不确定性,提出了不确定信息条件下需要解决的无人机(UAV)攻防博弈问题。以敌我双方发射导弹的价值信息为依据,建立基于不确定信息的多UAV攻防对抗的支付函数,构建攻防双方博弈支付矩阵。将粒子群算法和区间数多属性方案排序方法相结合,给出基于不确定信息下博弈纳什均衡求解方法,为不确定环境下UAV攻防博弈实现最优策略提供了新方法。最后,进行了仿真实验,验证了该方法的可行性和有效性。
The offensive/defensive problem of unmanned aerial vehicle（UAV） in an uncertain environment was presented by analyzing the uncertain information of target value and damage probability.An offensive/defensive payoff function of UAV in the case of uncertain information was established based on the information value of friend and enemy＇s missiles,and the offensive/defensive game payoff matrix was built.The Nash equilibrium of the game was obtained by combining the particle swarm optimization algorithm and the interval number multiple attribute ranking method in the case of uncertain information.A new method for UAV offensive/defensive game to achieve optimal strategy was proposed.Finally the feasibility and effectiveness of the method was verified by simulation.
出处
《兵工学报》
EI
CAS
CSCD
北大核心
2012年第12期1510-1515,共6页
Acta Armamentarii
基金
国家自然科学基金项目(61074159)
辽宁省自然科学基金项目(20092053)
关键词
运筹学
无人机
纳什均衡
不确定信息
区间可能度
operation research
unmanned aerial vehicle
Nash equilibrium
uncertain information
interval possibility
