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State estimation for networked systems with randomly occurring quantisations

Author

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  • Xiao He
  • Zidong Wang
  • Y.D. Ji
  • D.H. Zhou

Abstract

In this article, the state estimation problem is investigated for a class of discrete-time networked systems with randomly occurring quantisations. Logarithmic quantisers with different quantisation laws are considered and a Bernoulli distributed stochastic sequence is utilised to determine which quantiser is used at a certain time instant. After converting the quantisation effects into sector-bounded parameter uncertainties, a sufficient condition ensuring the existence of desirable estimators is proposed by using Lyapunov function approach, and parameters of the desired estimator are further obtained. Simulation is carried out on a networked three-tank system in order to illustrate the applicability of the proposed state estimation technique.

Suggested Citation

  • Xiao He & Zidong Wang & Y.D. Ji & D.H. Zhou, 2013. "State estimation for networked systems with randomly occurring quantisations," International Journal of Systems Science, Taylor & Francis Journals, vol. 44(7), pages 1253-1263.
    • Handle: RePEc:taf:tsysxx:v:44:y:2013:i:7:p:1253-1263
    DOI: 10.1080/00207721.2012.702245
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