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Control and Filtering for Semi-Markovian Jump Systems pp 133–148Cite as

Event-Triggered Fault Detection for Semi-Markovian Jump Systems

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Part of the book series: Studies in Systems, Decision and Control ((SSDC,volume 81))

Abstract

This chapter considers the fault detection problem for a class of S-MJS with known sojourn probability. An event-driven control strategy is developed to reduce the frequency of transmission, and sufficient conditions for sojourn probability dependent jumped systems are presented. A fault detection filter is designed such that the corresponding filtering error system is stochastically stable and has a prescribed performance. In addition, a fault detection filter design algorithm is employed such that the existence conditions for the designed filer are provided.

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References

  1. Frank, P., Ding, X.: Survey of robust residual generation and evaluation methods in observer-based fault detection systems. J. Process Control 7, 403–424 (1997)

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  2. El Ghaoui, L., Oustry, F., Ait Rami, M.: A cone complementarity linearization algorithm for static output-feedback and related problems. IEEE Trans. Autom. Control 42(8), 1171–1176 (1997)

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Author information

Authors and Affiliations

  1. School of Information Science and Engineering, Central South University, Changsha, China

    Fanbiao Li

  2. College of Engineering and Science, Victoria University, Melbourne, Australia

    Peng Shi

  3. School of Electrical and Electronic Engineering, The University of Adelaide, Adelaide, Australia

    Peng Shi

  4. Space Control and Inertial Technology Research Center, Harbin Institute of Technology, Harbin, China

    Ligang Wu

Authors
  1. Fanbiao Li
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  2. Peng Shi
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  3. Ligang Wu
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Corresponding author

Correspondence to Peng Shi .

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Li, F., Shi, P., Wu, L. (2017). Event-Triggered Fault Detection for Semi-Markovian Jump Systems. In: Control and Filtering for Semi-Markovian Jump Systems. Studies in Systems, Decision and Control, vol 81. Springer, Cham. https://doi.org/10.1007/978-3-319-47199-0_7

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  • DOI: https://doi.org/10.1007/978-3-319-47199-0_7

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-47198-3

  • Online ISBN: 978-3-319-47199-0

  • eBook Packages: EngineeringEngineering (R0)

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