Air combat decision-making of multiple UCAVs based on constraint strategy games

• 作者: Shou-yi Li Mou Chen Yu-hui Wang Qing-xian Wu
• 来源期刊: 防务技术
• 年，卷（期）: 2022,（3）
• 页码范围: 368-383
• 页数: 16页
• 语种: 英文
• DOI: 10.3969/j.issn.2214-9147.2022.03.003

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.