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作 者:Shou-yi Li Mou Chen Yu-hui Wang Qing-xian Wu
出 处:《Defence Technology(防务技术)》2022年第3期368-383,共16页Defence Technology
基 金:supported by Major Projects for Science and Technology Innovation 2030(Grant No.2018AA0100800);Equipment Pre-research Foundation of Laboratory(Grant No.61425040104);in part by Jiangsu Province“333”project under Grant BRA2019051.
摘 要:Game theory can be applied to the air combat decision-making problem of multiple unmanned combat air vehicles(UCAVs).However,it is difficult to have satisfactory decision-making results completely relying on air combat situation information,because there is a lot of time-sensitive information in a complex air combat environment.In this paper,a constraint strategy game approach is developed to generate intelligent decision-making for multiple UCAVs in complex air combat environment with air combat situation information and time-sensitive information.Initially,a constraint strategy game is employed to model attack-defense decision-making problem in complex air combat environment.Then,an algorithm is proposed for solving the constraint strategy game based on linear programming and linear inequality(CSG-LL).Finally,an example is given to illustrate the effectiveness of the proposed approach.
关 键 词:Game theory Time-sensitive information Constraint strategy games Polytope strategy games Multiple UCAVs Air combat decision-making
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