Impulsive Stabilization for a Class of Neural Networks with Both Time-Varying and Distributed Delays
The impulsive control method is developed to stabilize a class of neural networks with both time-varying and distributed delays. Some exponential stability criteria are obtained by using Lyapunov functionals, stability theory, and control by impulses. A numerical example is also provided to show the...
Main Authors: | , |
---|---|
Format: | Article |
Language: | English |
Published: |
SpringerOpen
2009-01-01
|
Series: | Advances in Difference Equations |
Online Access: | http://dx.doi.org/10.1155/2009/859832 |
_version_ | 1818758961586765824 |
---|---|
author | Lizi Yin Xiaodi Li |
author_facet | Lizi Yin Xiaodi Li |
author_sort | Lizi Yin |
collection | DOAJ |
description | The impulsive control method is developed to stabilize a class of neural networks with both time-varying and distributed delays. Some exponential stability criteria are obtained by using Lyapunov functionals, stability theory, and control by impulses. A numerical example is also provided to show the effectiveness and feasibility of the impulsive control method. |
first_indexed | 2024-12-18T06:35:09Z |
format | Article |
id | doaj.art-589934da1f9542649560edae5e287665 |
institution | Directory Open Access Journal |
issn | 1687-1839 1687-1847 |
language | English |
last_indexed | 2024-12-18T06:35:09Z |
publishDate | 2009-01-01 |
publisher | SpringerOpen |
record_format | Article |
series | Advances in Difference Equations |
spelling | doaj.art-589934da1f9542649560edae5e2876652022-12-21T21:17:48ZengSpringerOpenAdvances in Difference Equations1687-18391687-18472009-01-01200910.1155/2009/859832Impulsive Stabilization for a Class of Neural Networks with Both Time-Varying and Distributed DelaysLizi YinXiaodi LiThe impulsive control method is developed to stabilize a class of neural networks with both time-varying and distributed delays. Some exponential stability criteria are obtained by using Lyapunov functionals, stability theory, and control by impulses. A numerical example is also provided to show the effectiveness and feasibility of the impulsive control method.http://dx.doi.org/10.1155/2009/859832 |
spellingShingle | Lizi Yin Xiaodi Li Impulsive Stabilization for a Class of Neural Networks with Both Time-Varying and Distributed Delays Advances in Difference Equations |
title | Impulsive Stabilization for a Class of Neural Networks with Both Time-Varying and Distributed Delays |
title_full | Impulsive Stabilization for a Class of Neural Networks with Both Time-Varying and Distributed Delays |
title_fullStr | Impulsive Stabilization for a Class of Neural Networks with Both Time-Varying and Distributed Delays |
title_full_unstemmed | Impulsive Stabilization for a Class of Neural Networks with Both Time-Varying and Distributed Delays |
title_short | Impulsive Stabilization for a Class of Neural Networks with Both Time-Varying and Distributed Delays |
title_sort | impulsive stabilization for a class of neural networks with both time varying and distributed delays |
url | http://dx.doi.org/10.1155/2009/859832 |
work_keys_str_mv | AT liziyin impulsivestabilizationforaclassofneuralnetworkswithbothtimevaryinganddistributeddelays AT xiaodili impulsivestabilizationforaclassofneuralnetworkswithbothtimevaryinganddistributeddelays |