This paper focuses on fault estimation problem for linear discrete-time multi-agent system based on unknown input observer method. Firstly, we expand the state vector’s dimension, making it include sensor or actuator failure information, so a big system with fault states is generated. Then, we construct an UIO (Unknown Input Observer) to realize the purpose of fault estimation, this method uses the estimation errors generated by the agents which are connected. Design conditions of multi-constrained observer matrices are given and solved by using linear matrix inequality technique. Finally, an example of linear multi-agent system including four aircrafts is illustrated to prove the correctness and validity of the method we brought.


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    Title :

    Robust Fault Estimation for Discrete-Time Multi-agent Systems with Unknown Input Observer


    Additional title:

    Lect. Notes Electrical Eng.


    Contributors:
    Yan, Liang (editor) / Duan, Haibin (editor) / Yu, Xiang (editor) / Xu, Jiakai (author) / Zhou, Meng (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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