Cooperative systems as fleets of unmanned aerial vehicles often use the exchange of information through communication networks to reach an agreement or complete desired tasks. These networks are mainly vulnerable to cyber-attacks which use them to spread malfunctions to all systems in the network. The main contribution of this paper is the design of a resilient strategy such that the UAVs can follow the trajectories of a UAV leader in a consensus despite a type of cyber-attacks. Linear matrix inequalities (LMIs)-based conditions are obtained to guarantee the stability of the consensus against cyber-attacks. The proposed strategy is evaluated through simulations of a fleet of UAV under false-injection data in the inputs as cyber-attacks. A comparison between the proposed resilient strategy and the classical formation control is provided.


    Access

    Check access

    Check availability in my library

    Order at Subito €


    Export, share and cite



    Title :

    Resilient Leader-Following Formation Control For a Fleet of Unmanned Aerial Vehicles Under Cyber-Attacks




    Publication date :

    2023-06-06


    Size :

    3130030 byte





    Type of media :

    Conference paper


    Type of material :

    Electronic Resource


    Language :

    English



    Unmanned Aerial Vehicles: Vulnerability to Cyber Attacks

    Dahiya, Susheela / Garg, Manik | TIBKAT | 2020


    Unmanned Aerial Vehicles: Vulnerability to Cyber Attacks

    Dahiya, Susheela / Garg, Manik | Springer Verlag | 2020


    Resilient Control Under Cyber-Attacks in Connected ACC Vehicles

    Jeon, Woongsun / Zemouche, Ali / Rajamani, Rajesh | British Library Conference Proceedings | 2019


    System and method for defending unmanned aerial vehicles from hijack cyber attacks

    BILINSKI MARK / BURNETTE GERALD THOMAS / GREENE FRED WILLIAM et al. | European Patent Office | 2022

    Free access

    System and Method for Defending Unmanned Aerial Vehicles from Hijack Cyber Attacks

    BILINSKI MARK / BURNETTE GERALD THOMAS / GREENE FRED WILLIAM et al. | European Patent Office | 2021

    Free access