This paper studies the fault detection for linear multi-agent systems, in which the uncertainties, including random noises and bounded disturbances, are taken into account. To design the fault detection filters, a singular system is constructed by augmenting the disturbances with the system states. For each agent, a distributed filter is designed by using the states of neighbors with the aim of generating the needed fault detection residual. Moreover, the minimum upper bound of the residual under the health case is derived and used as the fault detection threshold. Due to the data transmission between agents, any agent can detect the fault either in itself or its neighbor agents. Simulation results for the theoretical work are given to demonstrate the fault detection performance.


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    Title :

    Fault Detection for Uncertain Linear Multi-agent Systems via Distributed Filtering Algorithm


    Additional title:

    Lect. Notes Electrical Eng.


    Contributors:
    Yan, Liang (editor) / Duan, Haibin (editor) / Yu, Xiang (editor) / Ju, Kai (author) / Jiang, Bin (author) / Xue, Yali (author) / Mao, Zehui (author)


    Publication date :

    2021-10-30


    Size :

    12 pages





    Type of media :

    Article/Chapter (Book)


    Type of material :

    Electronic Resource


    Language :

    English




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