Adaptive Multi-Agent Control Strategy in Heterogeneous Countermeasure Environments

Wei Wang, Hui Liu and Wangqun Lin
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Wei Wang: Center for Assessment and Demonstration Research, Academy of Military Science, China
Hui Liu: Institute of Electronic Warfare, National University of Defense Technology, China
Wangqun Lin: Center for Assessment and Demonstration Research, Academy of Military Science, China

International Journal of Multimedia Data Engineering and Management (IJMDEM), 2021, vol. 12, issue 2, 31-56

Abstract: In the rapidly changing air combat environment, it is quite difficult for pilots to make speedy and reasonable decisions in a very short period due to lack of experience and the uncertainty of perception situation. Hence, the authors propose an intelligent cognitive tactical strategy framework of air combat on multi-source information in uncertain air combat situations for decision support. A fuzzy inferring tree method is proposed to simulate human intellection. Then, to further improve the accuracy of the reasoning results, a genetic algorithm is introduced to optimize the structure and parameters of fuzzy rules. The simulation results show that the proposed model is reasonable, fast, accurate, repeatable, and fatigue-free, which lays a good foundation for future high-end unmanned combat explorations.

Date: 2021
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