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Article: Novel global asymptotic stability criteria for delayed cellular neural networks

TitleNovel global asymptotic stability criteria for delayed cellular neural networks
Authors
KeywordsCellular neural networks (CNNs)
Global asymptotic stability
Linear matrix inequality (LMI)
Time-delay systems
Issue Date2005
PublisherIEEE.
Citation
Ieee Transactions On Circuits And Systems Ii: Express Briefs, 2005, v. 52 n. 6, p. 349-353 How to Cite?
AbstractThis brief provides improved conditions for the existence of a unique equilibrium point and its global asymptotic stability of cellular neural networks with time delay. Both delay-dependent and delay-independent conditions are obtained by using more general Lyapunov-Krasovskii functionals. These conditions are expressed in terms of linear matrix inequalities, which can be checked easily by recently developed standard algorithms. Examples are provided to demonstrate the reduced conservatism of the proposed criteria by numerically comparing with those reported recently in the literature. © 2005 IEEE.
Persistent Identifierhttp://hdl.handle.net/10722/43015
ISSN
2006 Impact Factor: 0.922
2007 SCImago Journal Rankings: 1.092
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.accessioned2007-03-23T04:36:58Z-
dc.date.available2007-03-23T04:36:58Z-
dc.date.issued2005en_HK
dc.identifier.citationIeee Transactions On Circuits And Systems Ii: Express Briefs, 2005, v. 52 n. 6, p. 349-353en_HK
dc.identifier.issn1057-7130en_HK
dc.identifier.urihttp://hdl.handle.net/10722/43015-
dc.description.abstractThis brief provides improved conditions for the existence of a unique equilibrium point and its global asymptotic stability of cellular neural networks with time delay. Both delay-dependent and delay-independent conditions are obtained by using more general Lyapunov-Krasovskii functionals. These conditions are expressed in terms of linear matrix inequalities, which can be checked easily by recently developed standard algorithms. Examples are provided to demonstrate the reduced conservatism of the proposed criteria by numerically comparing with those reported recently in the literature. © 2005 IEEE.en_HK
dc.format.extent155889 bytes-
dc.format.extent35328 bytes-
dc.format.mimetypeapplication/pdf-
dc.format.mimetypeapplication/msword-
dc.languageengen_HK
dc.publisherIEEE.en_HK
dc.relation.ispartofIEEE Transactions on Circuits and Systems II: Express Briefsen_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 networks (CNNs)en_HK
dc.subjectGlobal asymptotic stabilityen_HK
dc.subjectLinear matrix inequality (LMI)en_HK
dc.subjectTime-delay systemsen_HK
dc.titleNovel global asymptotic stability criteria for delayed cellular neural networksen_HK
dc.typeArticleen_HK
dc.identifier.openurlhttp://library.hku.hk:4550/resserv?sid=HKU:IR&issn=1549-7747&volume=52&issue=6&spage=349&epage=353&date=2005&atitle=Novel+global+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/TCSII.2005.849000en_HK
dc.identifier.scopuseid_2-s2.0-22244437256en_HK
dc.identifier.hkuros102715-
dc.relation.referenceshttp://www.scopus.com/mlt/select.url?eid=2-s2.0-22244437256&selection=ref&src=s&origin=recordpageen_HK
dc.identifier.volume52en_HK
dc.identifier.issue6en_HK
dc.identifier.spage349en_HK
dc.identifier.epage353en_HK
dc.identifier.isiWOS:000229916200014-
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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