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DC Field | Value | Language |
---|---|---|
dc.contributor.author | K. Ratchagit | en_US |
dc.contributor.author | P. Niamsup | en_US |
dc.contributor.author | Vu N. Phat | en_US |
dc.date.accessioned | 2018-09-04T04:24:44Z | - |
dc.date.available | 2018-09-04T04:24:44Z | - |
dc.date.issued | 2011-04-26 | en_US |
dc.identifier.issn | 09737545 | en_US |
dc.identifier.issn | 09731377 | en_US |
dc.identifier.other | 2-s2.0-79955047278 | en_US |
dc.identifier.uri | https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=79955047278&origin=inward | en_US |
dc.identifier.uri | http://cmuir.cmu.ac.th/jspui/handle/6653943832/50124 | - |
dc.description.abstract | In this paper, we derive a sufficient condition for asymptotic stability of the zero solution of delay-difference control system of Hopfield neural networks in terms of certain matrix inequalities by using a discrete version of the Lyapunov second method. The result is applied to obtain new asymptotic stability condition for some class of delay-difference control system such as delay-difference control system of Hopfield neural networks with multiple delays in terms of certain matrix inequalities. Our results can be well suited for computational purposes. © 2010-11 by IJAMAS, CESER Publications. | en_US |
dc.subject | Mathematics | en_US |
dc.title | The novel sufficient condition for stability of discrete-time control system of neural networks | en_US |
dc.type | Journal | en_US |
article.title.sourcetitle | International Journal of Applied Mathematics and Statistics | en_US |
article.volume | 21 | en_US |
article.stream.affiliations | Maejo University | en_US |
article.stream.affiliations | Chiang Mai University | en_US |
article.stream.affiliations | Department of Mathematics | en_US |
Appears in Collections: | CMUL: Journal Articles |
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