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Article: Improved global robust asymptotic stability criteria for delayed cellular neural networks

TitleImproved global robust asymptotic stability criteria for delayed cellular neural networks
Authors
KeywordsCellular neural network
Global asymptotic stability
Linear matrix inequality
Parameter uncertainty
Robust stability
Time delays
Issue Date2005
PublisherIEEE.
Citation
Ieee Transactions On Systems, Man, And Cybernetics, Part B: Cybernetics, 2005, v. 35 n. 6, p. 1317-1321 How to Cite?
AbstractThis paper considers the problem of global robust stability analysis of delayed cellular neural networks (DCNNs) with norm-bounded parameter uncertainties. In terms of a linear matrix inequality, a new sufficient condition ensuring a nominal DCNN to have a unique equilibrium point which is globally asymptotically stable is proposed. This condition is shown to be a generalization and improvement over some previous criteria. Based on the stability result, a robust stability condition is developed, which contains an existing robust stability result as a special case. An example is provided to demonstrate the reduced conservativeness of the proposed results. © 2005 IEEE.
Persistent Identifierhttp://hdl.handle.net/10722/44939
ISSN
2014 Impact Factor: 6.22
2015 SCImago Journal Rankings: 3.921
ISI Accession Number ID
References

 

DC FieldValueLanguage
dc.contributor.authorXu, Sen_HK
dc.contributor.authorLam, Jen_HK
dc.contributor.authorHo, DWCen_HK
dc.contributor.authorZou, Yen_HK
dc.date.accessioned2007-10-30T06:13:54Z-
dc.date.available2007-10-30T06:13:54Z-
dc.date.issued2005en_HK
dc.identifier.citationIeee Transactions On Systems, Man, And Cybernetics, Part B: Cybernetics, 2005, v. 35 n. 6, p. 1317-1321en_HK
dc.identifier.issn1083-4419en_HK
dc.identifier.urihttp://hdl.handle.net/10722/44939-
dc.description.abstractThis paper considers the problem of global robust stability analysis of delayed cellular neural networks (DCNNs) with norm-bounded parameter uncertainties. In terms of a linear matrix inequality, a new sufficient condition ensuring a nominal DCNN to have a unique equilibrium point which is globally asymptotically stable is proposed. This condition is shown to be a generalization and improvement over some previous criteria. Based on the stability result, a robust stability condition is developed, which contains an existing robust stability result as a special case. An example is provided to demonstrate the reduced conservativeness of the proposed results. © 2005 IEEE.en_HK
dc.format.extent182635 bytes-
dc.format.extent10566 bytes-
dc.format.mimetypeapplication/pdf-
dc.format.mimetypetext/plain-
dc.languageengen_HK
dc.publisherIEEE.en_HK
dc.relation.ispartofIEEE Transactions on Systems, Man, and Cybernetics, Part B: Cyberneticsen_HK
dc.rights©2005 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.en_HK
dc.rightsCreative Commons: Attribution 3.0 Hong Kong License-
dc.subjectCellular neural networken_HK
dc.subjectGlobal asymptotic stabilityen_HK
dc.subjectLinear matrix inequalityen_HK
dc.subjectParameter uncertaintyen_HK
dc.subjectRobust stabilityen_HK
dc.subjectTime delaysen_HK
dc.titleImproved global robust asymptotic stability criteria for delayed cellular neural networksen_HK
dc.typeArticleen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=1083-4419&volume=35&issue=6&spage=1317&epage=1321&date=2005&atitle=Improved+global+robust+asymptotic+stability+criteria+for+delayed+cellular+neural+networksen_HK
dc.identifier.emailLam, J:james.lam@hku.hken_HK
dc.identifier.authorityLam, J=rp00133en_HK
dc.description.naturepublished_or_final_versionen_HK
dc.identifier.doi10.1109/TSMCB.2005.851539en_HK
dc.identifier.scopuseid_2-s2.0-29144475136en_HK
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-29144475136&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume35en_HK
dc.identifier.issue6en_HK
dc.identifier.spage1317en_HK
dc.identifier.epage1321en_HK
dc.identifier.isiWOS:000233441800021-
dc.publisher.placeUnited Statesen_HK
dc.identifier.scopusauthoridXu, S=7404438591en_HK
dc.identifier.scopusauthoridLam, J=7201973414en_HK
dc.identifier.scopusauthoridHo, DWC=7402971938en_HK
dc.identifier.scopusauthoridZou, Y=7402166773en_HK

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