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Article: Fault detection for fuzzy systems with intermittent measurements

TitleFault detection for fuzzy systems with intermittent measurements
Authors
KeywordsBasis-dependent Lyapunov functions
Fault detection
Intermittent measurements
Takagi-Sugeno (T-S) fuzzy systems
Uncertainties
Issue Date2009
PublisherIEEE.
Citation
Ieee Transactions On Fuzzy Systems, 2009, v. 17 n. 2, p. 398-410 How to Cite?
AbstractThis paper investigates the problem of fault detection for Takagi-Sugeno (T-S) fuzzy systems with intermittent measurements. The communication links between the plant and the fault detection filter are assumed to be imperfect (i.e., data packet dropouts occur intermittently, which appear typically in a network environment), and a stochastic variable satisfying the Bernoulli random binary distribution is utilized to model the unreliable communication links. The aim is to design a fuzzy fault detection filter such that, for all data missing conditions, the residual system is stochastically stable and preserves a guaranteed performance. The problem is solved through a basis-dependent Lyapunov function method, which is less conservative than the quadratic approach. The results are also extended to T-S fuzzy systems with time-varying parameter uncertainties. All the results are formulated in the form of linear matrix inequalities, which can be readily solved via standard numerical software. Two examples are provided to illustrate the usefulness and applicability of the developed theoretical results. © 2009 IEEE.
Persistent Identifierhttp://hdl.handle.net/10722/59025
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
Research Fund for the Doctoral Programme of Higher Education of China20070213084
Heilongjiang Outstanding Youth Science FundJC200809
Postdoctoral Science Foundation of China200801282
University of Hong Kong Research
Conference Grants (CRCG)200707176077
Funding Information:

Manuscript received April 15, 2008: revised August 26, 2008 and November 5, 2008; accepted December 24, 2008. First published February 10, 2009; 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), and in part by Postdoctoral Science Foundation of China (200801282), and in part by the University of Hong Kong Research and Conference Grants (CRCG) under Grant 200707176077.

References

 

DC FieldValueLanguage
dc.contributor.authorZhao, Yen_HK
dc.contributor.authorLam, Jen_HK
dc.contributor.authorGao, Hen_HK
dc.date.accessioned2010-05-31T03:41:37Z-
dc.date.available2010-05-31T03:41:37Z-
dc.date.issued2009en_HK
dc.identifier.citationIeee Transactions On Fuzzy Systems, 2009, v. 17 n. 2, p. 398-410en_HK
dc.identifier.issn1063-6706en_HK
dc.identifier.urihttp://hdl.handle.net/10722/59025-
dc.description.abstractThis paper investigates the problem of fault detection for Takagi-Sugeno (T-S) fuzzy systems with intermittent measurements. The communication links between the plant and the fault detection filter are assumed to be imperfect (i.e., data packet dropouts occur intermittently, which appear typically in a network environment), and a stochastic variable satisfying the Bernoulli random binary distribution is utilized to model the unreliable communication links. The aim is to design a fuzzy fault detection filter such that, for all data missing conditions, the residual system is stochastically stable and preserves a guaranteed performance. The problem is solved through a basis-dependent Lyapunov function method, which is less conservative than the quadratic approach. The results are also extended to T-S fuzzy systems with time-varying parameter uncertainties. All the results are formulated in the form of linear matrix inequalities, which can be readily solved via standard numerical software. Two examples are provided to illustrate the usefulness and applicability of the developed theoretical results. © 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 functionsen_HK
dc.subjectFault detectionen_HK
dc.subjectIntermittent measurementsen_HK
dc.subjectTakagi-Sugeno (T-S) fuzzy systemsen_HK
dc.subjectUncertaintiesen_HK
dc.titleFault detection for fuzzy 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=398&epage=410&date=2009&atitle=Fault+detection+for+fuzzy+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.2009.2014860en_HK
dc.identifier.scopuseid_2-s2.0-65549138999en_HK
dc.identifier.hkuros164244en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-65549138999&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume17en_HK
dc.identifier.issue2en_HK
dc.identifier.spage398en_HK
dc.identifier.epage410en_HK
dc.identifier.isiWOS:000265089700012-
dc.publisher.placeUnited Statesen_HK
dc.identifier.scopusauthoridZhao, Y=14059237200en_HK
dc.identifier.scopusauthoridLam, J=7201973414en_HK
dc.identifier.scopusauthoridGao, H=7402971422en_HK

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