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Optimal H filtering for nonlinear delayed systems with multiple sensors

  • Zhejiang University
  • University of New Orleans

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

1 Scopus citations

Abstract

We investigate the problem of multi-sensor optimal H filtering for a class of nonlinear systems with time delays. We use a nonlinear system model consisting of a linear dynamic system and a bounded static nonlinear operator. It unifies some (delayed) intelligent systems, including neural networks, Takagi and Sugeno (T-S) fuzzy models, Lur'e systems, as well as linear systems. Based on the H performance analysis of this nonlinear model via linear matrix inequality, we design centralized and distributed filters for multi-sensor time-delayed systems to guarantee the asymptotic stability of the fusion error systems and minimize the effect of the noise signals on the filtering error, and compare the effectiveness of centralized and distributed filters. We obtain parameters of these filters by solving an eigenvalue problem (EVP). A simulation example is provided to illustrate the design procedure and performance.

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.
Pages5466-5471
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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