摘要
作为无人机空战过程中较大的不确定性因素,作战双方毁伤概率易受外界因素影响,可能在一定范围波动,针对这一问题将鲁棒优化思想引入无人机空战博弈模型中,结合纳什均衡求解的适应度函数的期望和方差,建立了变权重的自适应目标函数,设计了权重的分配方法。在确保策略解可行的同时,提高了毁伤概率变化因素下混合策略的鲁棒性。仿真实验结果表明,与原博弈模型相比,新模型纳什均衡解下的双方博弈收益受参数变化影响较小,可提供更可靠的策略参考。
As one of the large uncertainty factors in the process of unmanned aerial vehicle （UAV） aerial combat, the damage probability of both sides may fluctuate in a certain range for it is easily affected by external factors. To solve this problem, the robust optimization theory is imported into the game model of UAV aerial combat. Integrated with expectation and variance for the fitness function of Nash equilibrium solution, an adap- tive objective function with variable weight is established, and the method for weight distribution is designed. The strategy solution is feasible, meanwhile the robustness of hybrid strategies is improved in the case of the damage probability changing. The simulation results show that compared with the original game model, the game revenue for both sides obtained from Nash equilibrium solution of the new model is less affected by the change of parameters. Therefore it can provide more reliable strategies reference.
出处
《系统工程与电子技术》
EI
CSCD
北大核心
2015年第11期2531-2535,共5页
Systems Engineering and Electronics
基金
国家自然科学基金(61374032)
辽宁省教育厅科学研究一般项目(L2015412)
沈阳市科技创新团队(src201204)资助课题
关键词
无人机
不确定性因素
鲁棒优化
纳什均衡
自适应权重
unmanned aerial vehicle （UAV）
uncertainty factors
robust optimization
Nash equilibriumadaptive weight
