The need for the surprise defensive capabilities during the vehicle's guiding is growing as anti-missile systems evolve. More flexible and precise guiding law algorithms are required as a result of technological advancements, particularly those involving artificial intelligence techniques, in order to fulfill demand. The main indicators of the vehicle cooperative guidance include time consistent synergy and space consistent synergy. If the target has a certain interception capability, the saturation strike can be accomplished by controlling the vehicle's terminal moment to ensure the destruction of the target. The spatial synergy requires the vehicle to hit the target from different angles, which can avoid collision of the vehicle during the flight and disperse the target defense fire. A Multi-Aircraft Attack Guidance Law based on supervised learning is proposed.


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    Titel :

    Multi-aircraft Attack Guidance Law Based on Supervised Learning


    Weitere Titelangaben:

    Lect. Notes Electrical Eng.


    Beteiligte:
    Fu, Wenxing (Herausgeber:in) / Gu, Mancang (Herausgeber:in) / Niu, Yifeng (Herausgeber:in) / Lyu, Zhongshi (Autor:in) / Guo, Xiaoyun (Autor:in) / Xu, Cheng (Autor:in) / Hao, Mingrui (Autor:in) / Liang, Xinkai (Autor:in)

    Kongress:

    International Conference on Autonomous Unmanned Systems ; 2022 ; Xi'an, China September 23, 2022 - September 25, 2022



    Erscheinungsdatum :

    2023-03-10


    Format / Umfang :

    7 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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