• Electronics Optics & Control
  • Vol. 21, Issue 6, 19 (2014)
CHEN Xia, ZHAO Ming-ming, and XU Guang-yan
Author Affiliations
  • [in Chinese]
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    DOI: 10.3969/j.issn.1671-637x.2014.06.004 Cite this Article
    CHEN Xia, ZHAO Ming-ming, XU Guang-yan. Fuzzy Dynamic Game Based Operation Strategy for Multiple UAVs[J]. Electronics Optics & Control, 2014, 21(6): 19 Copy Citation Text show less

    Abstract

    The air combat decision making of multiple UAVs in uncertain environment has become an important research subject in UAV combat system.The uncertainty of UAV air combat situation information was analyzed, and the combat dominant function of UAVs was built up based on fuzzy information.The dynamic expansion game was transferred into a static strategy game, and the payoff matrix of the two sides of game was constructed based on the fuzzy information.A Nash equilibrium solution method of mixed strategy game strategy with fuzzy information was proposed by using the fuzzy structure element method together with particle swarm algorithm (PSO).Simulation results show the feasibility and effectiveness of the method.
    CHEN Xia, ZHAO Ming-ming, XU Guang-yan. Fuzzy Dynamic Game Based Operation Strategy for Multiple UAVs[J]. Electronics Optics & Control, 2014, 21(6): 19
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