Delay-Dependent Stability Criterion of Caputo Fractional Neural Networks with Distributed Delay

This paper is concerned with the finite-time stability of Caputo fractional neural networks with distributed delay. The factors of such systems including Caputo’s fractional derivative and distributed delay are taken into account synchronously. For the Caputo fractional neural network model, a finit...

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Main Authors: Abdulaziz Alofi, Jinde Cao, Ahmed Elaiw, Abdullah Al-Mazrooei
Format: Article
Language:English
Published: Wiley 2014-01-01
Series:Discrete Dynamics in Nature and Society
Online Access:http://dx.doi.org/10.1155/2014/529358
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author Abdulaziz Alofi
Jinde Cao
Ahmed Elaiw
Abdullah Al-Mazrooei
author_facet Abdulaziz Alofi
Jinde Cao
Ahmed Elaiw
Abdullah Al-Mazrooei
author_sort Abdulaziz Alofi
collection DOAJ
description This paper is concerned with the finite-time stability of Caputo fractional neural networks with distributed delay. The factors of such systems including Caputo’s fractional derivative and distributed delay are taken into account synchronously. For the Caputo fractional neural network model, a finite-time stability criterion is established by using the theory of fractional calculus and generalized Gronwall-Bellman inequality approach. Both the proposed criterion and an illustrative example show that the stability performance of Caputo fractional distributed delay neural networks is dependent on the time delay and the order of Caputo’s fractional derivative over a finite time.
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institution OA Journals
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publishDate 2014-01-01
publisher Wiley
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series Discrete Dynamics in Nature and Society
spelling doaj-art-83e35fb14e4049f29d2152b8eb26e6892025-08-20T02:09:08ZengWileyDiscrete Dynamics in Nature and Society1026-02261607-887X2014-01-01201410.1155/2014/529358529358Delay-Dependent Stability Criterion of Caputo Fractional Neural Networks with Distributed DelayAbdulaziz Alofi0Jinde Cao1Ahmed Elaiw2Abdullah Al-Mazrooei3Department of Mathematics, Faculty of Science, King Abdulaziz University, Jeddah 21589, Saudi ArabiaDepartment of Mathematics, Faculty of Science, King Abdulaziz University, Jeddah 21589, Saudi ArabiaDepartment of Mathematics, Faculty of Science, King Abdulaziz University, Jeddah 21589, Saudi ArabiaDepartment of Mathematics, Faculty of Science, King Abdulaziz University, Jeddah 21589, Saudi ArabiaThis paper is concerned with the finite-time stability of Caputo fractional neural networks with distributed delay. The factors of such systems including Caputo’s fractional derivative and distributed delay are taken into account synchronously. For the Caputo fractional neural network model, a finite-time stability criterion is established by using the theory of fractional calculus and generalized Gronwall-Bellman inequality approach. Both the proposed criterion and an illustrative example show that the stability performance of Caputo fractional distributed delay neural networks is dependent on the time delay and the order of Caputo’s fractional derivative over a finite time.http://dx.doi.org/10.1155/2014/529358
spellingShingle Abdulaziz Alofi
Jinde Cao
Ahmed Elaiw
Abdullah Al-Mazrooei
Delay-Dependent Stability Criterion of Caputo Fractional Neural Networks with Distributed Delay
Discrete Dynamics in Nature and Society
title Delay-Dependent Stability Criterion of Caputo Fractional Neural Networks with Distributed Delay
title_full Delay-Dependent Stability Criterion of Caputo Fractional Neural Networks with Distributed Delay
title_fullStr Delay-Dependent Stability Criterion of Caputo Fractional Neural Networks with Distributed Delay
title_full_unstemmed Delay-Dependent Stability Criterion of Caputo Fractional Neural Networks with Distributed Delay
title_short Delay-Dependent Stability Criterion of Caputo Fractional Neural Networks with Distributed Delay
title_sort delay dependent stability criterion of caputo fractional neural networks with distributed delay
url http://dx.doi.org/10.1155/2014/529358
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