Existence and Global Exponential Stability of Almost Periodic Solutions for SICNNs with Nonlinear Behaved Functions and Mixed Delays

By using the Leray-Schauder fixed point theorem and differential inequality techniques, several new sufficient conditions are obtained for the existence and global exponential stability of almost periodic solutions for shunting inhibitory cellular neural networks with discrete and distributed delays...

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Main Authors: Xinsong Yang, Jinde Cao, Chuangxia Huang, Yao Long
Format: Article
Language:English
Published: Wiley 2010-01-01
Series:Abstract and Applied Analysis
Online Access:http://dx.doi.org/10.1155/2010/915451
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author Xinsong Yang
Jinde Cao
Chuangxia Huang
Yao Long
author_facet Xinsong Yang
Jinde Cao
Chuangxia Huang
Yao Long
author_sort Xinsong Yang
collection DOAJ
description By using the Leray-Schauder fixed point theorem and differential inequality techniques, several new sufficient conditions are obtained for the existence and global exponential stability of almost periodic solutions for shunting inhibitory cellular neural networks with discrete and distributed delays. The model in this paper possesses two characters: nonlinear behaved functions and all coefficients are time varying. Hence, our model is general and applicable to many known models. Moreover, our main results are also general and can be easily deduced to many simple cases, including some existing results. An example and its simulation are employed to illustrate our feasible results.
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institution Kabale University
issn 1085-3375
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language English
publishDate 2010-01-01
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series Abstract and Applied Analysis
spelling doaj-art-5d87e032fc944db098df335583ee5f872025-08-20T03:34:21ZengWileyAbstract and Applied Analysis1085-33751687-04092010-01-01201010.1155/2010/915451915451Existence and Global Exponential Stability of Almost Periodic Solutions for SICNNs with Nonlinear Behaved Functions and Mixed DelaysXinsong Yang0Jinde Cao1Chuangxia Huang2Yao Long3Department of Mathematics, Honghe University, Mengzi Yunnan 661100, ChinaDepartment of Mathematics, Southeast University, Nanjing 210096, ChinaDepartment of Mathematics, College of Mathematics and Computing Science, Changsha University of Science and Technology, Changsha, Hunan 410076, ChinaDepartment of Mathematics, Honghe University, Mengzi Yunnan 661100, ChinaBy using the Leray-Schauder fixed point theorem and differential inequality techniques, several new sufficient conditions are obtained for the existence and global exponential stability of almost periodic solutions for shunting inhibitory cellular neural networks with discrete and distributed delays. The model in this paper possesses two characters: nonlinear behaved functions and all coefficients are time varying. Hence, our model is general and applicable to many known models. Moreover, our main results are also general and can be easily deduced to many simple cases, including some existing results. An example and its simulation are employed to illustrate our feasible results.http://dx.doi.org/10.1155/2010/915451
spellingShingle Xinsong Yang
Jinde Cao
Chuangxia Huang
Yao Long
Existence and Global Exponential Stability of Almost Periodic Solutions for SICNNs with Nonlinear Behaved Functions and Mixed Delays
Abstract and Applied Analysis
title Existence and Global Exponential Stability of Almost Periodic Solutions for SICNNs with Nonlinear Behaved Functions and Mixed Delays
title_full Existence and Global Exponential Stability of Almost Periodic Solutions for SICNNs with Nonlinear Behaved Functions and Mixed Delays
title_fullStr Existence and Global Exponential Stability of Almost Periodic Solutions for SICNNs with Nonlinear Behaved Functions and Mixed Delays
title_full_unstemmed Existence and Global Exponential Stability of Almost Periodic Solutions for SICNNs with Nonlinear Behaved Functions and Mixed Delays
title_short Existence and Global Exponential Stability of Almost Periodic Solutions for SICNNs with Nonlinear Behaved Functions and Mixed Delays
title_sort existence and global exponential stability of almost periodic solutions for sicnns with nonlinear behaved functions and mixed delays
url http://dx.doi.org/10.1155/2010/915451
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