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Improved robust energy-to-peak filtering design for discrete-time switched polytopic linear systems with time-varying delay

  • Jianbin Qiu*
  • , Gang Feng
  • , Jie Yang
  • *Corresponding author for this work
  • University of Science and Technology of China
  • City University of Hong Kong

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

Abstract

This paper revisits the problem of delay-dependent robust energy-to-peak filtering for a class of discrete-time switched linear systems with time-varying state delay and polytopic uncertainties. The objective is to design a homogeneous switched linear filter guaranteeing the asymptotic stability of the resulting filtering error system with a minimized robust energy-to-peak disturbance attenuation level βmin. Based on a new delay and parameter-dependent switched Lyapunov-Krasovskii functional combined with Finsler's Lemma, a novel sufficient condition for robust energy-to-peak performance analysis is firstly derived and then the corresponding filter synthesis is developed. It is shown that the filter parameters can be obtained by solving a set of linear matrix inequalities. Finally, a numerical example is provided to illustrate the advantages and less conservatism of the proposed approach in comparison with the existing approaches.

Original languageEnglish
Title of host publicationProceedings of the 7th World Congress on Intelligent Control and Automation, WCICA'08
Pages317-322
Number of pages6
DOIs
StatePublished - 2008
Externally publishedYes
Event7th World Congress on Intelligent Control and Automation, WCICA'08 - Chongqing, China
Duration: 25 Jun 200827 Jun 2008

Publication series

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

Conference

Conference7th World Congress on Intelligent Control and Automation, WCICA'08
Country/TerritoryChina
CityChongqing
Period25/06/0827/06/08

Keywords

  • Delay-dependent
  • Linear matrix inequalities
  • Polytopic uncertainties
  • Robust energy-to-peak filtering
  • Switched linear systems

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