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DC Field | Value | Language |
---|---|---|
dc.contributor.author | W. Weera | en_US |
dc.contributor.author | P. Niamsup | en_US |
dc.date.accessioned | 2018-09-04T06:09:24Z | - |
dc.date.available | 2018-09-04T06:09:24Z | - |
dc.date.issued | 2012-04-18 | en_US |
dc.identifier.issn | 16870409 | en_US |
dc.identifier.issn | 10853375 | en_US |
dc.identifier.other | 2-s2.0-84859727208 | en_US |
dc.identifier.other | 10.1155/2012/101426 | en_US |
dc.identifier.uri | https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84859727208&origin=inward | en_US |
dc.identifier.uri | http://cmuir.cmu.ac.th/jspui/handle/6653943832/51801 | - |
dc.description.abstract | The 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.subject | Mathematics | en_US |
dc.title | Exponential stabilization of neutral-type neural networks with interval nondifferentiable and distributed time-varying delays | en_US |
dc.type | Journal | en_US |
article.title.sourcetitle | Abstract and Applied Analysis | en_US |
article.volume | 2012 | en_US |
article.stream.affiliations | Chiang Mai University | en_US |
article.stream.affiliations | South Carolina Commission on Higher Education | en_US |
Appears in Collections: | CMUL: Journal Articles |
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