Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/5274
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dc.contributorDepartment of Electronic and Information Engineering-
dc.creatorZhou, J-
dc.creatorWu, X-
dc.creatorYu, W-
dc.creatorSmall, M-
dc.creatorLu, JA-
dc.date.accessioned2014-12-11T08:29:05Z-
dc.date.available2014-12-11T08:29:05Z-
dc.identifier.issn1054-1500-
dc.identifier.urihttp://hdl.handle.net/10397/5274-
dc.language.isoenen_US
dc.publisherAmerican Institute of Physicsen_US
dc.rights© 2008 American Institute of Physics. This article may be downloaded for personal use only. Any other use requires prior permission of the author and the American Institute of Physics. The following article appeared in J. Zhou et al., Chaos: an interdisciplinary journal of nonlinear science 18, 043111 (2008) and may be found at http://link.aip.org/link/?cha/18/043111en_US
dc.subjectAdaotuve systemsen_US
dc.subjectComplex networksen_US
dc.subjectDelaysen_US
dc.subjectLyapunov methodsen_US
dc.subjectNeural netsen_US
dc.subjectNeurophysiologyen_US
dc.subjectsynchronisationen_US
dc.titlePinning synchronization of delayed neural networksen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.spage1-
dc.identifier.epage9-
dc.identifier.volume18-
dc.identifier.issue4-
dc.identifier.doi10.1063/1.2995852-
dcterms.abstractThis paper investigates adaptive pinning synchronization of a general weighted neural network with coupling delay. Unlike recent works on pinning synchronization which proposed the possibility that synchronization can be reached by controlling only a small fraction of neurons, this paper aims to answer the following question: Which neurons should be controlled to synchronize a neural network? By using Schur complement and Lyapunov function methods, it is proved that under a mild topology-based condition, some simple adaptive feedback controllers are sufficient to globally synchronize a general delayed neural network. Moreover, for a concrete neurobiological network consisting of identical Hindmarsh–Rose neurons, a specific pinning control technique is introduced and some numerical examples are presented to verify our theoretical results.-
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationChaos, Dec. 2008, v. 18, no. 4, 043111, p. 1-9-
dcterms.isPartOfChaos-
dcterms.issued2008-12-
dc.identifier.isiWOS:000262224600021-
dc.identifier.scopus2-s2.0-58149327426-
dc.identifier.eissn1089-7682-
dc.identifier.rosgroupidr44060-
dc.description.ros2008-2009 > Academic research: refereed > Publication in refereed journal-
dc.description.oaVersion of Recorden_US
dc.identifier.FolderNumberOA_IR/PIRAen_US
dc.description.pubStatusPublisheden_US
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