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Polynomially parameter-dependent approach of robust H filter for polytopic delta operator systems

  • Ying Zhang*
  • , Rui Zhang
  • , Chao Hu
  • , Yongqing Dong
  • *Corresponding author for this work
  • Harbin Institute of Technology Shenzhen
  • Shenzhen Institute of Advanced Technology
  • Chinese University of Hong Kong
  • Radio Relaying Station of Changbai

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

The problem of robust H filtering for polytopic Delta operator systems is investigated. An enhanced linear matrix inequality (LMI) representation for H performance criterion is presented based on the bounded real lemma by introducing two slack matrices. Upon this criterion, a structured polynomially parameter-dependent approach is proposed to solve robust H filtering problem, which is realized by carefully selecting the structure of the matrices involved in the products with system matrices. An LMI condition is obtained for the existence of admissible filters, and the filter design is cast into a convex optimization problem, which can be readily solved via standard numerical software. The effectiveness of the proposed design is demonstrated in a numerical example.

Original languageEnglish
Title of host publication2010 8th World Congress on Intelligent Control and Automation, WCICA 2010
Pages1741-1746
Number of pages6
DOIs
StatePublished - 2010
Externally publishedYes
Event2010 8th World Congress on Intelligent Control and Automation, WCICA 2010 - Jinan, China
Duration: 7 Jul 20109 Jul 2010

Publication series

NameProceedings of the World Congress on Intelligent Control and Automation (WCICA)

Conference

Conference2010 8th World Congress on Intelligent Control and Automation, WCICA 2010
Country/TerritoryChina
CityJinan
Period7/07/109/07/10

Keywords

  • H performance
  • Linear matrix inequality
  • Polytopic uncertainty
  • Robust H filtering

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