The novel sufficient condition for stability of discrete-time control system of neural networks

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 asymptot...

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Main Authors: K. Ratchagit, P. Niamsup, Vu N. Phat
格式: 雜誌
出版: 2018
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spelling th-cmuir.6653943832-501242018-09-04T04:24:44Z The novel sufficient condition for stability of discrete-time control system of neural networks K. Ratchagit P. Niamsup Vu N. Phat Mathematics 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. 2018-09-04T04:24:44Z 2018-09-04T04:24:44Z 2011-04-26 Journal 09737545 09731377 2-s2.0-79955047278 https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=79955047278&origin=inward http://cmuir.cmu.ac.th/jspui/handle/6653943832/50124
institution Chiang Mai University
building Chiang Mai University Library
country Thailand
collection CMU Intellectual Repository
topic Mathematics
spellingShingle Mathematics
K. Ratchagit
P. Niamsup
Vu N. Phat
The novel sufficient condition for stability of discrete-time control system of neural networks
description 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.
format Journal
author K. Ratchagit
P. Niamsup
Vu N. Phat
author_facet K. Ratchagit
P. Niamsup
Vu N. Phat
author_sort K. Ratchagit
title The novel sufficient condition for stability of discrete-time control system of neural networks
title_short The novel sufficient condition for stability of discrete-time control system of neural networks
title_full The novel sufficient condition for stability of discrete-time control system of neural networks
title_fullStr The novel sufficient condition for stability of discrete-time control system of neural networks
title_full_unstemmed The novel sufficient condition for stability of discrete-time control system of neural networks
title_sort novel sufficient condition for stability of discrete-time control system of neural networks
publishDate 2018
url https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=79955047278&origin=inward
http://cmuir.cmu.ac.th/jspui/handle/6653943832/50124
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