Global Exponential Stability of Discrete-Time Neural Networks with Time-Varying Delays

This paper presents some global stability criteria of discrete-time neural networks with time-varying delays. Based on a discrete-type inequality, a new global stability condition for nonlinear difference equation is derived. We consider nonlinear discrete systems with time-varying delays and indepe...

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Main Authors: S. Udpin, P. Niamsup
Format: Article
Language:English
Published: Wiley 2013-01-01
Series:Discrete Dynamics in Nature and Society
Online Access:http://dx.doi.org/10.1155/2013/325752
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author S. Udpin
P. Niamsup
author_facet S. Udpin
P. Niamsup
author_sort S. Udpin
collection DOAJ
description This paper presents some global stability criteria of discrete-time neural networks with time-varying delays. Based on a discrete-type inequality, a new global stability condition for nonlinear difference equation is derived. We consider nonlinear discrete systems with time-varying delays and independence of delay time. Numerical examples are given to illustrate the effectiveness of our theoretical results.
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institution Kabale University
issn 1026-0226
1607-887X
language English
publishDate 2013-01-01
publisher Wiley
record_format Article
series Discrete Dynamics in Nature and Society
spelling doaj-art-42f5d2c8f8ec48cab2ff50021f117ebb2025-02-03T05:50:56ZengWileyDiscrete Dynamics in Nature and Society1026-02261607-887X2013-01-01201310.1155/2013/325752325752Global Exponential Stability of Discrete-Time Neural Networks with Time-Varying DelaysS. Udpin0P. Niamsup1Department of Mathematics, Kasetsart University, Kamphaeng Saen Campus, Nakhonpathom 73140, ThailandDepartment of Mathematics, Chiang Mai University, Chiang Mai 50200, ThailandThis paper presents some global stability criteria of discrete-time neural networks with time-varying delays. Based on a discrete-type inequality, a new global stability condition for nonlinear difference equation is derived. We consider nonlinear discrete systems with time-varying delays and independence of delay time. Numerical examples are given to illustrate the effectiveness of our theoretical results.http://dx.doi.org/10.1155/2013/325752
spellingShingle S. Udpin
P. Niamsup
Global Exponential Stability of Discrete-Time Neural Networks with Time-Varying Delays
Discrete Dynamics in Nature and Society
title Global Exponential Stability of Discrete-Time Neural Networks with Time-Varying Delays
title_full Global Exponential Stability of Discrete-Time Neural Networks with Time-Varying Delays
title_fullStr Global Exponential Stability of Discrete-Time Neural Networks with Time-Varying Delays
title_full_unstemmed Global Exponential Stability of Discrete-Time Neural Networks with Time-Varying Delays
title_short Global Exponential Stability of Discrete-Time Neural Networks with Time-Varying Delays
title_sort global exponential stability of discrete time neural networks with time varying delays
url http://dx.doi.org/10.1155/2013/325752
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AT pniamsup globalexponentialstabilityofdiscretetimeneuralnetworkswithtimevaryingdelays