无人机集群对抗决策算法研究综述OA
Review of UAV Swarm Air-combat Decision-making Algorithms
无人机集群博弈对抗已经成为未来战争的发展趋势,无人机对抗决策算法的选择对提升无人机集群作战能力至关重要.本文深入探讨了基于规则的、基于博弈论的和基于神经网络的三大类无人机集群博弈对抗决策算法,并对它们的优势和局限性进行了全面分析与总结.在此基础上,提出将"基于多智能体强化学习的信用分配模型"和"基于角色的多智能体强化学习模型"应用于无人机集群博弈对抗的研究思路.最后,强调了选择适当的决策算法对于提高无人机集群作战效能的重要性,并为未来无人机对抗决…查看全部>>
UAV swarm air-combat has become the development trend of future warfare,and the selection of UAV swarm air-combat decision-making algorithms is crucial for improving the UAV swarm combat ability.This paper delve into three types of UAV swarm air-combat decision-making algorithms based on rules,game theory,and neural networks,and comprehensively analyze and summarize their advantages and limitations.On this basis,this paper propose to apply the multi-agent re…查看全部>>
李潍;黄诗怡;刘宏明;孙张俊
东南大学,江苏 南京 210096东南大学,江苏 南京 210096东南大学,江苏 南京 210096航空工业西安飞行自动控制研究所,陕西 西安 710076
无人机集群博弈对抗专家系统博弈论多智能体强化学习
UAV swarmair-combatexpert systemgame theorymulti-agent reinforcement learning
《航空科学技术》 2024 (4)
9-17,9
航空科学基金(20200058069001) Aeronautical Science Foundation of China(20200058069001)
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