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Adaptive Multi-Agent Control Strategy in Heterogeneous Countermeasure Environments

Adaptive Multi-Agent Control Strategy in Heterogeneous Countermeasure Environments
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Author(s): 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) and Wangqun Lin (Center for Assessment and Demonstration Research, Academy of Military Science, China)
Copyright: 2021
Volume: 12
Issue: 2
Pages: 26
Source title: International Journal of Multimedia Data Engineering and Management (IJMDEM)
Editor(s)-in-Chief: Chengcui Zhang (University of Alabama at Birmingham, USA) and Shu-Ching Chen (Florida International University, USA)
DOI: 10.4018/IJMDEM.2021040103

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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.

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