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Robust H filter design for 2D discrete systems in roesser model

  • Chun Yan Gao*
  • , Guang Ren Duan
  • , Xiang Yu Meng
  • *Corresponding author for this work
  • Harbin Institute of Technology

Research output: Contribution to journalArticlepeer-review

Abstract

This paper investigates the robust H filtering problem for uncertain two-dimensional (2D) systems described by the Roesser model. The parameter uncertainties considered in this paper are assumed to be of polytopic type. A new structured polynomially parameter-dependent method is utilized, which is based on homogeneous polynomially parameter-dependent matrices of arbitrary degree. The proposed method includes results in the quadratic framework and the linearly parameter-dependent framework as special cases for zeroth degree and first degree, respectively. A numerical example illustrates the feasibility and advantage of the proposed filter design methods.

Original languageEnglish
Pages (from-to)413-418
Number of pages6
JournalInternational Journal of Automation and Computing
Volume5
Issue number4
DOIs
StatePublished - Oct 2008

Keywords

  • Filtering
  • Lyapunov methods
  • Multidimensional systems
  • Robustness
  • Uncertain systems

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