This article studies the fuzzy finite-time ${H_\infty }$ hybrid-triggered dynamic positioning (DP) control design issue of the nonlinear unmanned marine vehicles against cyber-attacks and ocean disturbances. The motion dynamics are firstly represented by the Takagi-Sugeno (T-S) fuzzy DP models. Secondly, for the purpose of obtaining the surge position, sway position, yaw angle and velocity of unmanned marine vehicles, a fuzzy state observer is proposed to estimate them. Then, a hybrid-triggered mechanism described by a Bernoulli variable is designed to save the communication resources. To overcome the impacts of cyber-attacks and ocean disturbances, a fuzzy ${H_\infty }$ hybrid-triggered DP output feedback controller based on finite-time theory is developed. The stability criterions of the considered systems are formulated through establishing finite-time Lyapunov-Krasovskii functional. Finally, the simulation and comparison results validate the feasibility and superiority of the proposed scheme.


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    Title :

    Fuzzy Finite-Time ${H_\infty }$ Hybrid-Triggered Dynamic Positioning Control of Nonlinear Unmanned Marine Vehicles Under Cyber-Attacks


    Contributors:

    Published in:

    Publication date :

    2024-01-01


    Size :

    1714480 byte




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English



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