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Please use this identifier to cite or link to this item: https://doi.org/10.1016/j.physd.2005.09.013
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dc.titleLMI-based stability criteria for neural networks with multiple time-varying delays
dc.contributor.authorHe, Y.
dc.contributor.authorWang, Q.-G.
dc.contributor.authorWu, M.
dc.date.accessioned2014-06-17T02:55:22Z
dc.date.available2014-06-17T02:55:22Z
dc.date.issued2005-12-01
dc.identifier.citationHe, Y., Wang, Q.-G., Wu, M. (2005-12-01). LMI-based stability criteria for neural networks with multiple time-varying delays. Physica D: Nonlinear Phenomena 212 (1-2) : 126-136. ScholarBank@NUS Repository. https://doi.org/10.1016/j.physd.2005.09.013
dc.identifier.issn01672789
dc.identifier.urihttp://scholarbank.nus.edu.sg/handle/10635/56506
dc.description.abstractIn this paper, the stability of neural networks with multiple time-varying delays is studied. A new class of Lyapunov-Krasovskii functionals is constructed and the S-procedure and free-weighting matrix method are employed to derive a delay-dependent stability criterion, from which a delay-independent criterion is obtained as a special case. Moreover, the result is also extended to delay-dependent and rate-independent stability criteria for multiple unknown time-varying delays. Finally, numerical examples are given to illustrate the effectiveness of our methods and improvement over the existing ones. © 2005 Elsevier B.V. All rights reserved.
dc.description.urihttp://libproxy1.nus.edu.sg/login?url=http://dx.doi.org/10.1016/j.physd.2005.09.013
dc.sourceScopus
dc.subjectDelay-dependent
dc.subjectLinear matrix inequality (LMI)
dc.subjectNeural networks
dc.subjectStability
dc.subjectTime-varying delay
dc.typeArticle
dc.contributor.departmentELECTRICAL & COMPUTER ENGINEERING
dc.description.doi10.1016/j.physd.2005.09.013
dc.description.sourcetitlePhysica D: Nonlinear Phenomena
dc.description.volume212
dc.description.issue1-2
dc.description.page126-136
dc.description.codenPDNPD
dc.identifier.isiut000233682800008
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