Global Exponential Stability and Periodicity of Nonautonomous Impulsive Neural Networks with Time-Varying Delays and Reaction-Diffusion Terms
In this paper, we investigate the global exponential stability and periodicity of nonautonomous cellular neural networks with reaction-diffusion, impulses, and time-varying delays. By establishing a new differential inequality for nonautonomous systems, using the properties of M-matrix and inequalit...
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Series: | Complexity |
Online Access: | http://dx.doi.org/10.1155/2021/3495545 |
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doaj-1ef9ed44070c4934b0ca5ef2cfe10da52021-08-30T00:00:22ZengHindawi-WileyComplexity1099-05262021-01-01202110.1155/2021/3495545Global Exponential Stability and Periodicity of Nonautonomous Impulsive Neural Networks with Time-Varying Delays and Reaction-Diffusion TermsWeiyi Hu0Kelin Li1School of Mathematics and StatisticsSchool of Mathematics and StatisticsIn this paper, we investigate the global exponential stability and periodicity of nonautonomous cellular neural networks with reaction-diffusion, impulses, and time-varying delays. By establishing a new differential inequality for nonautonomous systems, using the properties of M-matrix and inequality techniques, some new sufficient conditions for the global exponential stability of the system are obtained. Moreover, sufficient conditions for the periodic solutions of the system are obtained by using the Poincare mapping and the fixed point theory. The validity and superiority of the main results are verified by numerical examples and simulations.http://dx.doi.org/10.1155/2021/3495545 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Weiyi Hu Kelin Li |
spellingShingle |
Weiyi Hu Kelin Li Global Exponential Stability and Periodicity of Nonautonomous Impulsive Neural Networks with Time-Varying Delays and Reaction-Diffusion Terms Complexity |
author_facet |
Weiyi Hu Kelin Li |
author_sort |
Weiyi Hu |
title |
Global Exponential Stability and Periodicity of Nonautonomous Impulsive Neural Networks with Time-Varying Delays and Reaction-Diffusion Terms |
title_short |
Global Exponential Stability and Periodicity of Nonautonomous Impulsive Neural Networks with Time-Varying Delays and Reaction-Diffusion Terms |
title_full |
Global Exponential Stability and Periodicity of Nonautonomous Impulsive Neural Networks with Time-Varying Delays and Reaction-Diffusion Terms |
title_fullStr |
Global Exponential Stability and Periodicity of Nonautonomous Impulsive Neural Networks with Time-Varying Delays and Reaction-Diffusion Terms |
title_full_unstemmed |
Global Exponential Stability and Periodicity of Nonautonomous Impulsive Neural Networks with Time-Varying Delays and Reaction-Diffusion Terms |
title_sort |
global exponential stability and periodicity of nonautonomous impulsive neural networks with time-varying delays and reaction-diffusion terms |
publisher |
Hindawi-Wiley |
series |
Complexity |
issn |
1099-0526 |
publishDate |
2021-01-01 |
description |
In this paper, we investigate the global exponential stability and periodicity of nonautonomous cellular neural networks with reaction-diffusion, impulses, and time-varying delays. By establishing a new differential inequality for nonautonomous systems, using the properties of M-matrix and inequality techniques, some new sufficient conditions for the global exponential stability of the system are obtained. Moreover, sufficient conditions for the periodic solutions of the system are obtained by using the Poincare mapping and the fixed point theory. The validity and superiority of the main results are verified by numerical examples and simulations. |
url |
http://dx.doi.org/10.1155/2021/3495545 |
work_keys_str_mv |
AT weiyihu globalexponentialstabilityandperiodicityofnonautonomousimpulsiveneuralnetworkswithtimevaryingdelaysandreactiondiffusionterms AT kelinli globalexponentialstabilityandperiodicityofnonautonomousimpulsiveneuralnetworkswithtimevaryingdelaysandreactiondiffusionterms |
_version_ |
1721186189534298112 |