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Robust H filtering for uncertain discrete stochastic systems with time delays

  • Shengyuan Xu*
  • , James Lam
  • , Huijun Gao
  • , Yun Zou
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

This paper considers the problem of robust H filtering for uncertain discrete-time stochastic systems with time-varying delays. The parameter uncertainties are assumed to be real time-varying norm-bounded in both the state and measurement equations. The problem to be addressed is the design of a stable filter that guarantees stochastic stability and a prescribed H performance level of the filtering error system for all admissible uncertainties and time delays. A sufficient condition for the existence of such filters is obtained in terms of a linear matrix inequality (LMI). For the case when this LMI is feasible, an explicit expression for a desired filter is given. An illustrative example is also provided to demonstrate the effectiveness and applicability of the proposed method.

Original languageEnglish
Pages (from-to)753-770
Number of pages18
JournalCircuits, Systems, and Signal Processing
Volume24
Issue number6
DOIs
StatePublished - Nov 2005

Keywords

  • Discrete-time systems
  • H filtering
  • LMI
  • Parameter uncertainty
  • Stochastic systems

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