This paper presents an attack detection and estimation approach to enhance the anti-attack performance for unmanned aerial vehicles (UAVs). The problem of remote signals being tampered by attackers is investigated. First, detect ability of attacks based on authentication signals estimation error is explored. The threshold of the detection mechanism is designed using the upper bound of disturbance. Subsequently, after being detected, the attack model on the control system is established which can further facilitate the attack estimation. Second, attack observer and disturbance observer are designed to estimate attack and disturbance simultaneously. Finally, simulation examples are presented to illustrate the effectiveness of the proposed methods.


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    Titel :

    Observer-Based Detection and Estimation for UAVs Subject to Remote Signal Attacks and Disturbances


    Weitere Titelangaben:

    Lect. Notes Electrical Eng.


    Beteiligte:
    Yan, Liang (Herausgeber:in) / Duan, Haibin (Herausgeber:in) / Yu, Xiang (Herausgeber:in) / Gu, Yapei (Autor:in) / Yu, Xiang (Autor:in) / Guo, Kexin (Autor:in) / Guo, Lei (Autor:in)


    Erscheinungsdatum :

    2021-10-30


    Format / Umfang :

    12 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch





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