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dc.contributor.authorKarimi, Hamid Reza
dc.contributor.authorGao, Huijun
dc.date.accessioned2010-10-18T14:31:38Z
dc.date.available2010-10-18T14:31:38Z
dc.date.issued2010
dc.identifier.citationKarimi, H. R., & Gao, H. J. (2010). New Delay-Dependent Exponential H-infinity Synchronization for Uncertain Neural Networks With Mixed Time Delays. IEEE Transactions on Systems Man and Cybernetics Part B, 40(1), 173-185.en_US
dc.identifier.issn1941-0492
dc.identifier.urihttp://hdl.handle.net/11250/136757
dc.description.abstractThis paper establishes an exponential H-infinity synchronization method for a class of uncertain master and slave neural networks (MSNNs) with mixed time delays, where the mixed delays comprise different neutral, discrete, and distributed time delays. The polytopic and the norm-bounded uncertainties are separately taken into consideration. An appropriate discretized Lyapunov-Krasovskii functional and some free-weighting matrices are utilized to establish some delay-dependent sufficient conditions for designing delayed state-feedback control as a synchronization law in terms of linear matrix inequalities under less restrictive conditions. The controller guarantees the exponential H-infinity synchronization of the two coupled MSNNs regardless of their initial states. Detailed comparisons with existing results are made, and numerical simulations are carried out to demonstrate the effectiveness of the established synchronization laws.en_US
dc.language.isoengen_US
dc.publisherIEEEen_US
dc.titleNew Delay-Dependent Exponential H-infinity Synchronization for Uncertain Neural Networks With Mixed Time Delaysen_US
dc.typeJournal articleen_US
dc.typePeer revieweden_US
dc.rights.holder© 2010 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
dc.subject.nsiVDP::Technology: 500::Mechanical engineering: 570en_US
dc.source.pagenumber173-185en_US
dc.source.volume40
dc.source.journalIEEE Transactions on Systems, Man, and Cybernetics, Part B
dc.source.issue1
dc.identifier.doihttps://doi.org/10.1109/TSMCB.2009.2024408


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