This paper investigates the event-triggered adaptive neural trajectory tracking control of marine surface vessels (MSVs) under internal/external uncertainties and deception attacks. A novel adaptive neural trajectory tracking control solution is proposed. Under the backstepping framework, this work treats internal and external uncertainties and deception attacks as compound uncertainties, using neural network (NN) technologies and single-parameter learning ideas to reconstruct. In addition, to reduce the mechanical wear of the actuator, the event-triggered adaptive neural tracking control is developed.


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    Title :

    Event-Triggered Adaptive Neural Network Trajectory Tracking Control of MSVs Under Deception Attacks


    Additional title:

    Lect. Notes Electrical Eng.


    Contributors:
    Jia, Yingmin (editor) / Zhang, Weicun (editor) / Fu, Yongling (editor) / Wang, Jiqiang (editor) / Wu, Chen (author) / Zhu, Guibing (author) / Lu, Jinshu (author)

    Conference:

    Chinese Intelligent Systems Conference ; 2023 ; Ningbo, China October 14, 2023 - October 15, 2023



    Publication date :

    2023-10-08


    Size :

    13 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English