Asymptotical Stability of Riemann-Liouville Nonlinear Fractional Neutral Neural Networks with Time-Varying Delays

In this paper, the asymptotic stability of solutions is investigated for a class of nonlinear fractional neutral neural networks with time-dependent delays which are unbounded. By constructing the appropriate Lyapunov functional, sufficient conditions for asymptotic stability of neural networks are...

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Main Authors: Erdal Korkmaz, Abdulhamit Ozdemir, Kenan Yildirim
Format: Article
Language:English
Published: Wiley 2022-01-01
Series:Journal of Mathematics
Online Access:http://dx.doi.org/10.1155/2022/6832472
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author Erdal Korkmaz
Abdulhamit Ozdemir
Kenan Yildirim
author_facet Erdal Korkmaz
Abdulhamit Ozdemir
Kenan Yildirim
author_sort Erdal Korkmaz
collection DOAJ
description In this paper, the asymptotic stability of solutions is investigated for a class of nonlinear fractional neutral neural networks with time-dependent delays which are unbounded. By constructing the appropriate Lyapunov functional, sufficient conditions for asymptotic stability of neural networks are obtained with the help of LMI. An example is presented by using the LMI Toolbox to demonstrate the effectiveness of the obtained results.
format Article
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institution Kabale University
issn 2314-4785
language English
publishDate 2022-01-01
publisher Wiley
record_format Article
series Journal of Mathematics
spelling doaj-art-32d1904298ad47a7bbb22548ca716d062025-02-03T01:20:35ZengWileyJournal of Mathematics2314-47852022-01-01202210.1155/2022/6832472Asymptotical Stability of Riemann-Liouville Nonlinear Fractional Neutral Neural Networks with Time-Varying DelaysErdal Korkmaz0Abdulhamit Ozdemir1Kenan Yildirim2MathematicsMathematicsMathematicsIn this paper, the asymptotic stability of solutions is investigated for a class of nonlinear fractional neutral neural networks with time-dependent delays which are unbounded. By constructing the appropriate Lyapunov functional, sufficient conditions for asymptotic stability of neural networks are obtained with the help of LMI. An example is presented by using the LMI Toolbox to demonstrate the effectiveness of the obtained results.http://dx.doi.org/10.1155/2022/6832472
spellingShingle Erdal Korkmaz
Abdulhamit Ozdemir
Kenan Yildirim
Asymptotical Stability of Riemann-Liouville Nonlinear Fractional Neutral Neural Networks with Time-Varying Delays
Journal of Mathematics
title Asymptotical Stability of Riemann-Liouville Nonlinear Fractional Neutral Neural Networks with Time-Varying Delays
title_full Asymptotical Stability of Riemann-Liouville Nonlinear Fractional Neutral Neural Networks with Time-Varying Delays
title_fullStr Asymptotical Stability of Riemann-Liouville Nonlinear Fractional Neutral Neural Networks with Time-Varying Delays
title_full_unstemmed Asymptotical Stability of Riemann-Liouville Nonlinear Fractional Neutral Neural Networks with Time-Varying Delays
title_short Asymptotical Stability of Riemann-Liouville Nonlinear Fractional Neutral Neural Networks with Time-Varying Delays
title_sort asymptotical stability of riemann liouville nonlinear fractional neutral neural networks with time varying delays
url http://dx.doi.org/10.1155/2022/6832472
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AT abdulhamitozdemir asymptoticalstabilityofriemannliouvillenonlinearfractionalneutralneuralnetworkswithtimevaryingdelays
AT kenanyildirim asymptoticalstabilityofriemannliouvillenonlinearfractionalneutralneuralnetworkswithtimevaryingdelays