File Download
  Links for fulltext
     (May Require Subscription)
Supplementary

Article: H∞ fuzzy filtering of nonlinear systems with intermittent measurements

TitleH∞ fuzzy filtering of nonlinear systems with intermittent measurements
Authors
KeywordsBasis-dependent Lyapunov function
H∞ filter design
Intermittent measurements
Nonlinear systems
Takagi-Sugeno (T-S) fuzzy systems
Issue Date2009
PublisherIEEE.
Citation
Ieee Transactions On Fuzzy Systems, 2009, v. 17 n. 2, p. 291-300 How to Cite?
AbstractThis paper is concerned with the problem of H∞ fuzzy filtering of nonlinear systems with intermittent measurements. The nonlinear plant is represented by a Takagi-Sugeno (T-S) fuzzy model. The measurements transmission from the plant to the filter is assumed to be imperfect, and a stochastic variable satisfying the Bernoulli random binary distribution is utilized to model the phenomenon of the missing measurements. Attention is focused on the design of an H∞ filter such that the filter error system is stochastically stable and preserves a guaranteed H∞ performance. A basis-dependent Lyapunov function approach is developed to design the H∞ filter. By introducing some slack matrix variables, the coupling between the Lyapunov matrix and the system matrices is eliminated, which greatly facilitates the filter-design procedure. The developed theoretical results are in the form of linear matrix inequalities (LMIs). Finally, an illustrative example is provided to show the effectiveness of the proposed approach. © 2009 IEEE.
Persistent Identifierhttp://hdl.handle.net/10722/59093
ISSN
2015 Impact Factor: 6.701
2015 SCImago Journal Rankings: 5.800
ISI Accession Number ID
Funding AgencyGrant Number
National Natural Science Foundation of China60825303
60834003
973 Project2009CB320600
Doctoral Programme of Higher Education of China20070213084
Heilongjiang Outstanding Youth Science FundJC200809
Postdoctoral Science Foundation of China200801282
Fok Ying Tung Education Foundation111064
HKU CRCG200707176077
Funding Information:

Manuscript received May 8, 2007; revised July 16, 2007. First published April 30, 2008; current version published April 1, 2009. This work was supported in part by the National Natural Science Foundation of China (60825303, 60834003), in part by the 973 Project (2009CB320600), in part by the Research Fund for the Doctoral Programme of Higher Education of China (20070213084), in part by the Heilongjiang Outstanding Youth Science Fund (JC200809), in part by the Postdoctoral Science Foundation of China (200801282), in part by the Fok Ying Tung Education Foundation (111064), and in part by HKU CRCG 200707176077.

References

 

DC FieldValueLanguage
dc.contributor.authorGao, Hen_HK
dc.contributor.authorZhao, Yen_HK
dc.contributor.authorLam, Jen_HK
dc.contributor.authorChen, Ken_HK
dc.date.accessioned2010-05-31T03:42:45Z-
dc.date.available2010-05-31T03:42:45Z-
dc.date.issued2009en_HK
dc.identifier.citationIeee Transactions On Fuzzy Systems, 2009, v. 17 n. 2, p. 291-300en_HK
dc.identifier.issn1063-6706en_HK
dc.identifier.urihttp://hdl.handle.net/10722/59093-
dc.description.abstractThis paper is concerned with the problem of H∞ fuzzy filtering of nonlinear systems with intermittent measurements. The nonlinear plant is represented by a Takagi-Sugeno (T-S) fuzzy model. The measurements transmission from the plant to the filter is assumed to be imperfect, and a stochastic variable satisfying the Bernoulli random binary distribution is utilized to model the phenomenon of the missing measurements. Attention is focused on the design of an H∞ filter such that the filter error system is stochastically stable and preserves a guaranteed H∞ performance. A basis-dependent Lyapunov function approach is developed to design the H∞ filter. By introducing some slack matrix variables, the coupling between the Lyapunov matrix and the system matrices is eliminated, which greatly facilitates the filter-design procedure. The developed theoretical results are in the form of linear matrix inequalities (LMIs). Finally, an illustrative example is provided to show the effectiveness of the proposed approach. © 2009 IEEE.en_HK
dc.languageengen_HK
dc.publisherIEEE.en_HK
dc.relation.ispartofIEEE Transactions on Fuzzy Systemsen_HK
dc.rightsCreative Commons: Attribution 3.0 Hong Kong License-
dc.rightsIEEE Transactions on Fuzzy Systems. Copyright © IEEE.-
dc.rights©2009 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.-
dc.subjectBasis-dependent Lyapunov functionen_HK
dc.subjectH∞ filter designen_HK
dc.subjectIntermittent measurementsen_HK
dc.subjectNonlinear systemsen_HK
dc.subjectTakagi-Sugeno (T-S) fuzzy systemsen_HK
dc.titleH∞ fuzzy filtering of nonlinear systems with intermittent measurementsen_HK
dc.typeArticleen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=1063-6706&volume=17&issue=2&spage=291&epage=300&date=2009&atitle=H∞+fuzzy+filtering+of+nonlinear+systems+with+intermittent+measurementsen_HK
dc.identifier.emailLam, J:james.lam@hku.hken_HK
dc.identifier.authorityLam, J=rp00133en_HK
dc.description.naturepublished_or_final_version-
dc.identifier.doi10.1109/TFUZZ.2008.924206en_HK
dc.identifier.scopuseid_2-s2.0-65549112650en_HK
dc.identifier.hkuros164241en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-65549112650&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume17en_HK
dc.identifier.issue2en_HK
dc.identifier.spage291en_HK
dc.identifier.epage300en_HK
dc.identifier.isiWOS:000265089700004-
dc.publisher.placeUnited Statesen_HK
dc.identifier.scopusauthoridGao, H=7402971422en_HK
dc.identifier.scopusauthoridZhao, Y=14059237200en_HK
dc.identifier.scopusauthoridLam, J=7201973414en_HK
dc.identifier.scopusauthoridChen, K=7410240709en_HK
dc.identifier.citeulike5950670-

Export via OAI-PMH Interface in XML Formats


OR


Export to Other Non-XML Formats