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Discrete bilinear stochastic systems with time-varying delay: Stability analysis and control synthesis

  • Huijun Gao*
  • , James Lam
  • , Zidong Wang
  • *Corresponding author for this work
  • The University of Hong Kong
  • Brunel University London

Research output: Contribution to journalArticlepeer-review

Abstract

This paper deals with the problems of stability analysis and static output-feedback stabilization for discrete stochastic systems with time-varying state delay. A delay-dependent condition for mean-square asymptotic stability is first established in terms of linear matrix inequalities (LMIs), which can be solved efficiently via available numerical software. Connection with an existing result on related topics is thoroughly discussed. Based on the established stability criterion, the problem of static output-feedback stabilization is then investigated, which is cast into a nonlinear minimization problem involving LMI constraints. An iterative algorithm making use of sequential linear programming matrix method (SLPMM) is proposed to solve the nonlinear minimization problem. A numerical example is provided to demonstrate the feasibility and applicability of the proposed approaches.

Original languageEnglish
Pages (from-to)394-404
Number of pages11
JournalChaos, Solitons and Fractals
Volume34
Issue number2
DOIs
StatePublished - Oct 2007

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