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

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Advances in Guidance, Navigation and Control

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 644))

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Abstract

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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Acknowledgements

This paper is supported by grant funded by NSFC (51805021) and Research foundation for talents of NCUT (No.213051360020XN173/017, 110051360020XN092).

Author information

Authors and Affiliations

  1. College of Information Science and Technology, Beijing University of Chemical Technology, Beijing, China

    Jiakai Xu

  2. School of Electrical and Control Engineering, North China University of Technology, Beijing, China

    Meng Zhou

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  1. Jiakai Xu
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  2. Meng Zhou
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Corresponding author

Correspondence to Meng Zhou .

Editor information

Editors and Affiliations

  1. Beihang University, Beijing, China

    Liang Yan

  2. Beihang University, Beijing, China

    Haibin Duan

  3. Beihang University, Beijing, China

    Xiang Yu

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Xu, J., Zhou, M. (2022). Robust Fault Estimation for Discrete-Time Multi-agent Systems with Unknown Input Observer. In: Yan, L., Duan, H., Yu, X. (eds) Advances in Guidance, Navigation and Control . Lecture Notes in Electrical Engineering, vol 644. Springer, Singapore. https://doi.org/10.1007/978-981-15-8155-7_396

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