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dc.contributor.authorK. Ratchagiten_US
dc.contributor.authorP. Niamsupen_US
dc.contributor.authorVu N. Phaten_US
dc.date.accessioned2018-09-04T04:24:44Z-
dc.date.available2018-09-04T04:24:44Z-
dc.date.issued2011-04-26en_US
dc.identifier.issn09737545en_US
dc.identifier.issn09731377en_US
dc.identifier.other2-s2.0-79955047278en_US
dc.identifier.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=79955047278&origin=inwarden_US
dc.identifier.urihttp://cmuir.cmu.ac.th/jspui/handle/6653943832/50124-
dc.description.abstractIn 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.subjectMathematicsen_US
dc.titleThe novel sufficient condition for stability of discrete-time control system of neural networksen_US
dc.typeJournalen_US
article.title.sourcetitleInternational Journal of Applied Mathematics and Statisticsen_US
article.volume21en_US
article.stream.affiliationsMaejo Universityen_US
article.stream.affiliationsChiang Mai Universityen_US
article.stream.affiliationsDepartment of Mathematicsen_US
Appears in Collections:CMUL: Journal Articles

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