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Robust H filtering for discrete-time uncertain linear systems with time-varying delayed outputs

  • Harbin Institute of Technology

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

Abstract

A robust delay-dependent H filtering design is proposed for discrete-time linear systems with norm-bounded uncertainty and time-varying delayed outputs. The resulting filter guarantees that the induced 12 -norm of the system, relating the exogenous signals to the estimation error, is less than a prescribed level for all possible uncertainties and time delays. Sufficient conditions are given in terms of linear matrix inequalities (LMIs) and solution of the filter is given through an iterative procedure of a linear matrix inequality minimum problem derived from cone complementarity linearization algorithm. A numerical example is given to demonstrate our results.

Original languageEnglish
Title of host publicationProceedings of 2004 International Conference on Machine Learning and Cybernetics
Pages1055-1059
Number of pages5
StatePublished - 2004
EventProceedings of 2004 International Conference on Machine Learning and Cybernetics - Shanghai, China
Duration: 26 Aug 200429 Aug 2004

Publication series

NameProceedings of 2004 International Conference on Machine Learning and Cybernetics
Volume2

Conference

ConferenceProceedings of 2004 International Conference on Machine Learning and Cybernetics
Country/TerritoryChina
CityShanghai
Period26/08/0429/08/04

Keywords

  • Cone complementarity linearization
  • Discrete-time linear system
  • H filtering
  • LMI
  • Time-varying delayed outputs

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