In order to perform the operational advantages of manned aerial vehicle (MAV) /unmanned aerial vehicle (UAV) cooperative system, a method of MAV/UAV intelligent decision-making in air combat based on deep deterministic policy gradient (DDPG) algorithm is proposed. Based on the continuous action space, four typical intentions of MAV were introduced, and the optimization models under different intentions were established. The simulation results show that the multiple UAVs can realize the cooperative operations under the guidance of MAV with a favorable effect. In addition, it makes up the gap for the 1VS1 air combat.


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    Titel :

    Intelligent Decision-Making of MAV/UAV in Air Combat Based on DDPG Algorithm


    Weitere Titelangaben:

    Lect. Notes Electrical Eng.


    Beteiligte:
    Yan, Liang (Herausgeber:in) / Duan, Haibin (Herausgeber:in) / Yu, Xiang (Herausgeber:in) / Li, Yue (Autor:in) / Han, Wei (Autor:in) / Zhong, Weiguo (Autor:in) / Ji, Jiazheng (Autor:in) / Mu, Wanhui (Autor:in)


    Erscheinungsdatum :

    30.10.2021


    Format / Umfang :

    11 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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