Stability in Switched Cohen-Grossberg Neural Networks with Mixed Time Delays and Non-Lipschitz Activation Functions

The stability for the switched Cohen-Grossberg neural networks with mixed time delays and α-inverse Hölder activation functions is investigated under the switching rule with the average dwell time property. By applying multiple Lyapunov-Krasovskii functional approach and linear matrix inequality (LM...

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Main Authors: Huaiqin Wu, Guohua Xu, Chongyang Wu, Ning Li, Kewang Wang, Qiangqiang Guo
Format: Article
Language:English
Published: Wiley 2012-01-01
Series:Discrete Dynamics in Nature and Society
Online Access:http://dx.doi.org/10.1155/2012/435402
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author Huaiqin Wu
Guohua Xu
Chongyang Wu
Ning Li
Kewang Wang
Qiangqiang Guo
author_facet Huaiqin Wu
Guohua Xu
Chongyang Wu
Ning Li
Kewang Wang
Qiangqiang Guo
author_sort Huaiqin Wu
collection DOAJ
description The stability for the switched Cohen-Grossberg neural networks with mixed time delays and α-inverse Hölder activation functions is investigated under the switching rule with the average dwell time property. By applying multiple Lyapunov-Krasovskii functional approach and linear matrix inequality (LMI) technique, a delay-dependent sufficient criterion is achieved to ensure such switched neural networks to be globally exponentially stable in terms of LMIs, and the exponential decay estimation is explicitly developed for the states too. Two illustrative examples are given to demonstrate the validity of the theoretical results.
format Article
id doaj-art-8a41e79ffd5d4a388bb59677e3de20f6
institution Kabale University
issn 1026-0226
1607-887X
language English
publishDate 2012-01-01
publisher Wiley
record_format Article
series Discrete Dynamics in Nature and Society
spelling doaj-art-8a41e79ffd5d4a388bb59677e3de20f62025-02-03T01:21:37ZengWileyDiscrete Dynamics in Nature and Society1026-02261607-887X2012-01-01201210.1155/2012/435402435402Stability in Switched Cohen-Grossberg Neural Networks with Mixed Time Delays and Non-Lipschitz Activation FunctionsHuaiqin Wu0Guohua Xu1Chongyang Wu2Ning Li3Kewang Wang4Qiangqiang Guo5College of Science, Yanshan University, Qinhuangdao 066001, ChinaCollege of Science, Yanshan University, Qinhuangdao 066001, ChinaCollege of Economics and Finance, Huaqiao University, Quanzhou 362021, ChinaCollege of Science, Yanshan University, Qinhuangdao 066001, ChinaCollege of Science, Yanshan University, Qinhuangdao 066001, ChinaCollege of Science, Yanshan University, Qinhuangdao 066001, ChinaThe stability for the switched Cohen-Grossberg neural networks with mixed time delays and α-inverse Hölder activation functions is investigated under the switching rule with the average dwell time property. By applying multiple Lyapunov-Krasovskii functional approach and linear matrix inequality (LMI) technique, a delay-dependent sufficient criterion is achieved to ensure such switched neural networks to be globally exponentially stable in terms of LMIs, and the exponential decay estimation is explicitly developed for the states too. Two illustrative examples are given to demonstrate the validity of the theoretical results.http://dx.doi.org/10.1155/2012/435402
spellingShingle Huaiqin Wu
Guohua Xu
Chongyang Wu
Ning Li
Kewang Wang
Qiangqiang Guo
Stability in Switched Cohen-Grossberg Neural Networks with Mixed Time Delays and Non-Lipschitz Activation Functions
Discrete Dynamics in Nature and Society
title Stability in Switched Cohen-Grossberg Neural Networks with Mixed Time Delays and Non-Lipschitz Activation Functions
title_full Stability in Switched Cohen-Grossberg Neural Networks with Mixed Time Delays and Non-Lipschitz Activation Functions
title_fullStr Stability in Switched Cohen-Grossberg Neural Networks with Mixed Time Delays and Non-Lipschitz Activation Functions
title_full_unstemmed Stability in Switched Cohen-Grossberg Neural Networks with Mixed Time Delays and Non-Lipschitz Activation Functions
title_short Stability in Switched Cohen-Grossberg Neural Networks with Mixed Time Delays and Non-Lipschitz Activation Functions
title_sort stability in switched cohen grossberg neural networks with mixed time delays and non lipschitz activation functions
url http://dx.doi.org/10.1155/2012/435402
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AT ningli stabilityinswitchedcohengrossbergneuralnetworkswithmixedtimedelaysandnonlipschitzactivationfunctions
AT kewangwang stabilityinswitchedcohengrossbergneuralnetworkswithmixedtimedelaysandnonlipschitzactivationfunctions
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