Delay-Dependent Exponential Synchronization Criteria for Chaotic Neural Networks with Time-Varying Delays

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Autore principale: S. Jeeva Sathya Theesar
Natura: Artículo científico
Lingua:en
Pubblicazione: Sociedade Brasileira de Física 2012
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author S. Jeeva Sathya Theesar
author_facet S. Jeeva Sathya Theesar
contents Delay-Dependent Exponential Synchronization Criteria for Chaotic Neural Networks with Time-Varying Delays S. Jeeva Sathya Theesar R. Chandran P. Balasubramaniam Física, Astronomía y Matemáticas Time varying delay Delay decomposition Delayed neural networks Exponential synchronization The problem of exponentially synchronizingclass of delayed neural networks is studied. Both constant and time-varying delays are considered, to obtain the delay-dependent state feedback synchronization gain matrix. By means of the method of Lyapunov- Krasovskii functional, combined with linear matrix inequalities, exponential synchronization of the master- slave structure of neural networks is achieved. The delay interval is decomposed into multiple nonequidistant subintervals, on which Lyapunov-Krasovskii functionals are constructed. On the basis of these functionals, a new exponential synchronization condition, one that is time-delay dependent, is proposed in terms of linear matrix inequalities. A numerical example showing the effectiveness of the proposed method is presented. 2012 artículo científico 0103-9733 https://www.redalyc.org/articulo.oa?id=46423465006 en http://www.redalyc.org/revista.oa?id=464 Brazilian Journal of Physics application/pdf Sociedade Brasileira de Física Brazilian Journal of Physics (Brasil) Num.3-4 Vol.42
format Artículo científico
id redalyc_46423465006
institution Redalyc
language en
publishDate 2012
publisher Sociedade Brasileira de Física
spellingShingle Delay-Dependent Exponential Synchronization Criteria for Chaotic Neural Networks with Time-Varying Delays
S. Jeeva Sathya Theesar
Física, Astronomía y Matemáticas
Time
varying delay
Delay decomposition
Delayed neural networks
Exponential synchronization
Delay-Dependent Exponential Synchronization Criteria for Chaotic Neural Networks with Time-Varying Delays S. Jeeva Sathya Theesar R. Chandran P. Balasubramaniam Física, Astronomía y Matemáticas Time varying delay Delay decomposition Delayed neural networks Exponential synchronization The problem of exponentially synchronizingclass of delayed neural networks is studied. Both constant and time-varying delays are considered, to obtain the delay-dependent state feedback synchronization gain matrix. By means of the method of Lyapunov- Krasovskii functional, combined with linear matrix inequalities, exponential synchronization of the master- slave structure of neural networks is achieved. The delay interval is decomposed into multiple nonequidistant subintervals, on which Lyapunov-Krasovskii functionals are constructed. On the basis of these functionals, a new exponential synchronization condition, one that is time-delay dependent, is proposed in terms of linear matrix inequalities. A numerical example showing the effectiveness of the proposed method is presented. 2012 artículo científico 0103-9733 https://www.redalyc.org/articulo.oa?id=46423465006 en http://www.redalyc.org/revista.oa?id=464 Brazilian Journal of Physics application/pdf Sociedade Brasileira de Física Brazilian Journal of Physics (Brasil) Num.3-4 Vol.42
title Delay-Dependent Exponential Synchronization Criteria for Chaotic Neural Networks with Time-Varying Delays
topic Física, Astronomía y Matemáticas
Time
varying delay
Delay decomposition
Delayed neural networks
Exponential synchronization
url https://www.redalyc.org/articulo.oa?id=46423465006