Paper
25 May 2023 Research on cooperative strategy guidance based on game theory
Xin Wang, Xinghua Wang, Xu Li, Yao Lu
Author Affiliations +
Proceedings Volume 12636, Third International Conference on Machine Learning and Computer Application (ICMLCA 2022); 1263639 (2023) https://doi.org/10.1117/12.2675236
Event: Third International Conference on Machine Learning and Computer Application (ICMLCA 2022), 2022, Shenyang, China
Abstract
In modern war, the continuous development of missile technology makes the air combat environment more complex. With the emergence of intelligent mobile targets, the interception and guidance of missiles are facing severe challenges. It not only requires the continuous improvement of the precision guidance performance of missiles, but also requires multiple missiles to work together to maximize the effectiveness of group warfare. In this paper, a new method of missile interception guidance strategy based on game theory is proposed, which is based on dynamic game and matrix game in game theory. By establishing a many to one missile target game model, the strategy set of missile and target is determined. Then, according to the many to one missile target game model, the system equation is determined, and the cooperative guidance strategy is obtained through the calculation results. Finally, the Nash equilibrium solution of the dynamic game model is obtained by using the model prediction algorithm. And a cooperative guidance strategy suitable for many to one interception is obtained. The simulation results verify the effectiveness of the guidance law.
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Xin Wang, Xinghua Wang, Xu Li, and Yao Lu "Research on cooperative strategy guidance based on game theory", Proc. SPIE 12636, Third International Conference on Machine Learning and Computer Application (ICMLCA 2022), 1263639 (25 May 2023); https://doi.org/10.1117/12.2675236
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KEYWORDS
Missiles

Matrices

Detection and tracking algorithms

Algorithms

Bombs

Defense and security

Defense technologies

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