Please use this identifier to cite or link to this item: http://cmuir.cmu.ac.th/jspui/handle/6653943832/51801
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dc.contributor.authorW. Weeraen_US
dc.contributor.authorP. Niamsupen_US
dc.date.accessioned2018-09-04T06:09:24Z-
dc.date.available2018-09-04T06:09:24Z-
dc.date.issued2012-04-18en_US
dc.identifier.issn16870409en_US
dc.identifier.issn10853375en_US
dc.identifier.other2-s2.0-84859727208en_US
dc.identifier.other10.1155/2012/101426en_US
dc.identifier.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84859727208&origin=inwarden_US
dc.identifier.urihttp://cmuir.cmu.ac.th/jspui/handle/6653943832/51801-
dc.description.abstractThe problem of exponential stabilization of neutral-type neural networks with various activation functions and interval nondifferentiable and distributed time-varying delays is considered. The interval time-varying delay function is not required to be differentiable. By employing new and improved Lyapunov-Krasovskii functional combined with Leibniz-Newton’s formula, the stabilizability criteria are formulated in terms of a linear matrix inequalities. Numerical examples are given to illustrate and show the effectiveness of the obtained results. Copyright © 2012 W. Weera and P. Niamsup.en_US
dc.subjectMathematicsen_US
dc.titleExponential stabilization of neutral-type neural networks with interval nondifferentiable and distributed time-varying delaysen_US
dc.typeJournalen_US
article.title.sourcetitleAbstract and Applied Analysisen_US
article.volume2012en_US
article.stream.affiliationsChiang Mai Universityen_US
article.stream.affiliationsSouth Carolina Commission on Higher Educationen_US
Appears in Collections:CMUL: Journal Articles

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