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Fault detection for networked control systems subject to quantisation and packet dropout

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  • Yue Long
  • Guang-Hong Yang

Abstract

This article addresses the stochastic fault detection (SFD) problem in finite-frequency domain for a class of networked control systems (NCSs) with respect to signal quantisation and data packet dropout. Considering a logarithmic quantiser and Markovian packet dropout, the NCS is modelled as a Markov jump linear system (MJLS) with quantisation error. Further, a new definition of finite-frequency stochastic H− index is given, which gives a measurement of sensitivity. Subsequently, sufficient conditions are derived to guarantee that the MJLS can achieve such a performance. By virtue of the obtained conditions, the fault detection filters (FDFs) are designed in finite-frequency domain, which are valid in characterising the disturbance attenuation performance and finite-frequency fault sensitivity performance. Finally, a simulation example is given to illustrate the method and its effectiveness.

Suggested Citation

  • Yue Long & Guang-Hong Yang, 2013. "Fault detection for networked control systems subject to quantisation and packet dropout," International Journal of Systems Science, Taylor & Francis Journals, vol. 44(6), pages 1150-1159.
    • Handle: RePEc:taf:tsysxx:v:44:y:2013:i:6:p:1150-1159
    DOI: 10.1080/00207721.2012.658882
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    Cited by:

    1. Xiong, Jun & Chang, Xiao-Heng & Yi, Xiaojian, 2018. "Design of robust nonfragile fault detection filter for uncertain dynamic systems with quantization," Applied Mathematics and Computation, Elsevier, vol. 338(C), pages 774-788.

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