This paper investigates the fusion-based event-triggered $H_{\infty} $ state estimation of autonomous surface vehicles (ASVs) against measurement outliers and cyber-attacks. To release communication burden, a novel fusion-based event-triggered mechanism (FETM) dependent on the fusion of historical system outputs is proposed. There exist two advantages of this mechanism: 1) the use of fusion signal is able to avoid the information loss between two sampling instants and reduce the redundant triggering events resulted from system disturbances and noises; 2) by requiring the error signal in the triggering condition not only lager than a lower threshold but also less than an upper threshold, the false triggering events incurred by measurement outliers also can be discarded. Then, a time-varying delay system is established to represent the event-triggered $H_{\infty} $ state estimation error system with network-induced delays. Then, sufficient conditions are deduced for solving $H_{\infty }$ estimator gain and triggering matrix of FETM. Lastly, some simulation results are given to illustrate the merits of the theoretical method.


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    Title :

    Fusion-Based Event-Triggered H State Estimation of Networked Autonomous Surface Vehicles With Measurement Outliers and Cyber-Attacks


    Contributors:
    Yan, Shen (author) / Gu, Zhou (author) / Park, Ju H. (author) / Shen, Mouquan (author)


    Publication date :

    2024-07-01


    Size :

    9652704 byte




    Type of media :

    Article (Journal)


    Type of material :

    Electronic Resource


    Language :

    English