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.


    Zugriff

    Zugriff prüfen

    Verfügbarkeit in meiner Bibliothek prüfen

    Bestellung bei Subito €


    Exportieren, teilen und zitieren



    Titel :

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


    Weitere Titelangaben:

    Lect. Notes Electrical Eng.


    Beteiligte:
    Yan, Liang (Herausgeber:in) / Duan, Haibin (Herausgeber:in) / Yu, Xiang (Herausgeber:in) / Xu, Jiakai (Autor:in) / Zhou, Meng (Autor:in)


    Erscheinungsdatum :

    30.10.2021


    Format / Umfang :

    12 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch





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

    Xu, Jiakai / Zhou, Meng | British Library Conference Proceedings | 2022



    AN EXTENDED UNKNOWN INPUT OBSERVER FOR NONLINEAR DISCRETE-TIME SYSTEMS

    Witczak, M. / Jozef, K. / European Union Control Association et al. | British Library Conference Proceedings | 2001