Filtering for discrete fuzzy stochastic systems with sensor nonlinearities

Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

96 Citations (Scopus)

Abstract

This paper deals with the filtering problem for discrete-time fuzzy stochastic systems with sensor nonlinearities. There exist time-varying parameter uncertainties and random noise depending on state and external-disturbance. The characteristic of nonlinear sensor is handled by a decomposition method. By means of the parallel distributed compensation technique, the design method of the robust ℋ filter is presented. Sufficient conditions for the stochastic stability of the filtering error systems are derived such that the filter parameters can be explicitly obtained. Simulation results are given to illustrate the proposed method. © 2010 IEEE.
Original languageEnglish
Article number5512637
Pages (from-to)971-978
JournalIEEE Transactions on Fuzzy Systems
Volume18
Issue number5
DOIs
Publication statusPublished - Oct 2010

Research Keywords

  • External disturbance
  • filtering
  • fuzzy stochastic systems
  • sensor nonlinearities

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