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Fault Estimation of Switched Linear Systems with Actuator and Sensor Faults

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Proceedings of 2020 Chinese Intelligent Systems Conference (CISC 2020)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 705))

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Abstract

This paper addresses the multiple fault estimation problem for the switched linear systems with actuator and sensor faults. By introducing an intermediate variable and augmenting state and sensor faults into a new vector, an fault estimation approach is proposed to contemporaneously estimate the state, the actuator and sensor faults. It is shown that under switching signals with average dwell time closed-loop signals remain uniformly ultimately bounded. Finally, a case study is given to illustrate the effectiveness of the proposed scheme.

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Acknowledgments

This work was supported in part by the National Natural Science Foundation of China (Grant nos. 61873087 and 61703148), the Natural Science Foundation of Heilongjiang Province (Grant nos. F2017023).

Author information

Authors and Affiliations

  1. School of Mathematical Science, Heilongjiang University, Harbin, People’s Republic of China

    Chunying Su, Jianting Lyu & Xin Wang

  2. School of Mechatronics Engineering, Harbin Institute of Technology, Harbin, People’s Republic of China

    Dai Gao

Authors
  1. Chunying Su
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  2. Jianting Lyu
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  3. Xin Wang
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  4. Dai Gao
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Corresponding author

Correspondence to Jianting Lyu .

Editor information

Editors and Affiliations

  1. School of Automation Science and Electrical Engineering, Beihang University, Beijing, Beijing, China

    Yingmin Jia

  2. School of Automation and Electrical Engineering, University of Science and Technology Beijing, Beijing, Beijing, China

    Weicun Zhang

  3. School of Mechanical Engineering and Automation, Beihang University, Beijing, Beijing, China

    Yongling Fu

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Su, C., Lyu, J., Wang, X., Gao, D. (2021). Fault Estimation of Switched Linear Systems with Actuator and Sensor Faults. In: Jia, Y., Zhang, W., Fu, Y. (eds) Proceedings of 2020 Chinese Intelligent Systems Conference. CISC 2020. Lecture Notes in Electrical Engineering, vol 705. Springer, Singapore. https://doi.org/10.1007/978-981-15-8450-3_61

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