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改进博弈论的舰载无人机编队协同对海突击目标分配
引用本文:韩玉龙,严建钢,陈榕,李俊,孙守福,林云.改进博弈论的舰载无人机编队协同对海突击目标分配[J].火力与指挥控制,2016(7):65-70.
作者姓名:韩玉龙  严建钢  陈榕  李俊  孙守福  林云
作者单位:1. 海军航空工程学院,山东 烟台,264001;2. 海军航空工程学院,山东 烟台 264001; 解放军92913部队,海南 临高 571820
基金项目:国家社会科学基金军事学项目(11GJ003074);军事学博士研究生基金资助项目(2014JY473)
摘    要:目标分配问题是UAV自主控制的重要问题。针对舰载无人机编队协同对海突击目标分配问题,首先建立了基于离散动态贝叶斯网络的目标价值评估模型,在此基础上构建了舰载无人机编队的益损值矩阵,设计了舰载无人机编队协同对海突击目标分配的决策函数,提出了一种基于改进博弈论的目标分配方法,为4种不同约束条件下的目标分配问题分别设计了算法。最后对所建立的目标价值评估模型和改进博弈论的目标分配算法进行了实例仿真,仿真结果表明了模型和算法的可行性和有效性。

关 键 词:舰载无人机  对海突击  目标分配  贝叶斯网络  博弈论

Improved Game Theory Based Targets Assigning for Ship-based UAV Formation Coordinated Air-to-Sea Attack
Abstract:Target assigning is an important problem for autonomous control and management of cooperative UAVs. To resolve targets assigning for Ship-based UAV Formation coordinated Air-to-Sea attack, a target value assessment model base on discrete Dynamic Bayesian networks(DBN)is proposed, on the basis of which the profit and loss matrix is formed. Then a decision function and an improved game theory based model of targets assigning for Ship-based UAV formation coordinated air-to-sea attack are proposed. Four special kinds of algorithm are designed for corresponding restriction. Lastly, the improved game theory algorithm is simulated. The experimental results shows that the method can quickly and efficiently resolve the target assigning problem for Ship-based UAV formation coordinated air-to-sea attack.
Keywords:ship-based UAV  air-to-sea attack  targets assigning  Bayesian networks  game theory
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