H filter design for discrete-time linear systems with sector-bounded nonlinearities: An LMI approach

Mouquan Shen, Mingshun Wang, Guang Hong Yang

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

Abstract

This paper concerns the problem of full-order and reduced-order H filter design for discrete-time system with sector-bounded nonlinearities. The purpose of this paper is to design full-order and reduced-order filter with the same nonlinearity such that the filtering error system is asymptotically stable and has a guaranteed H performance. By using slack variable technique, sufficient conditions are obtained for the existence of admissible filters. Moreover, in order to overcome the non-convex constraint for reduced-order H filter design, by converting the structural constraint on the Lyapunov matrix to the constraint on the slack variables, the admissible filter can be obtained from the solution of convex optimization problem in terms of linear matrix inequality, which can be solved via efficient interior-point algorithms. Numerical example is presented to illustrate the effectiveness of the proposed methods.

Original languageEnglish
Title of host publicationProceedings of the 48th IEEE Conference on Decision and Control held jointly with 2009 28th Chinese Control Conference, CDC/CCC 2009
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages1291-1296
Number of pages6
ISBN (Print)9781424438716
DOIs
StatePublished - 2009
Externally publishedYes
Event48th IEEE Conference on Decision and Control held jointly with 2009 28th Chinese Control Conference, CDC/CCC 2009 - Shanghai, China
Duration: 15 Dec 200918 Dec 2009

Publication series

NameProceedings of the IEEE Conference on Decision and Control
ISSN (Print)0743-1546
ISSN (Electronic)2576-2370

Conference

Conference48th IEEE Conference on Decision and Control held jointly with 2009 28th Chinese Control Conference, CDC/CCC 2009
Country/TerritoryChina
CityShanghai
Period15/12/0918/12/09

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