H model reduction of 2-D dingular roesser models

Huiling Xu, Yun Zou, Shengyuan Xu, James Lam, Qing Wang

Research output: Contribution to journalArticlepeer-review

28 Citations (Scopus)

Abstract

This paper discusses the problem of H model reduction for linear discrete time 2-D singular Roesser models (2-D SRM). A condition for bounded realness is established for 2-D SRM in terms of linear matrix inequalities (LMIs). Based on this, a sufficient condition for the solvability of the H model reduction problem is obtained via a group of LMIs and a set of coupling non-convex rank constraints. An explicit parameterization of the desired reduced-order models is presented. Particularly, a simple LMI condition without rank constraints is proposed for the zeroth-order H approximation problem. Finally, a numerical example is given to illustrate the applicability of the proposed approach.

Original languageEnglish
Pages (from-to)285-304
Number of pages20
JournalMultidimensional Systems and Signal Processing
Volume16
Issue number3
DOIs
Publication statusPublished - Jul 2005
Externally publishedYes

Keywords

  • 2-D singular systems
  • Bounded realness
  • H model reduction
  • Linear matrix inequality
  • Roesser models

ASJC Scopus subject areas

  • Software
  • Signal Processing
  • Information Systems
  • Hardware and Architecture
  • Computer Science Applications
  • Artificial Intelligence
  • Applied Mathematics

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