Robust Stability of Fractional Order Memristive BAM Neural Networks with Mixed and Additive Time Varying Delays

This paper is concerned with the problem of the robust stability of fractional-order memristive bidirectional associative memory (BAM) neural networks. Based on Lyapunov theory, fractional-order differential inequalities and linear matrix inequalities (LMI) are applied to obtain a robust asymptotica...

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Main Authors: Xiuping Han, M. Hymavathi, Sumaya Sanober, Bhawna Dhupia, M. Syed Ali
Format: Article
Language:English
Published: MDPI AG 2022-01-01
Series:Fractal and Fractional
Subjects:
Online Access:https://www.mdpi.com/2504-3110/6/2/62
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author Xiuping Han
M. Hymavathi
Sumaya Sanober
Bhawna Dhupia
M. Syed Ali
author_facet Xiuping Han
M. Hymavathi
Sumaya Sanober
Bhawna Dhupia
M. Syed Ali
author_sort Xiuping Han
collection DOAJ
description This paper is concerned with the problem of the robust stability of fractional-order memristive bidirectional associative memory (BAM) neural networks. Based on Lyapunov theory, fractional-order differential inequalities and linear matrix inequalities (LMI) are applied to obtain a robust asymptotical stability. Finally, numerical examples are presented.
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spelling doaj.art-b53451f369b5443baedc41356780eb3d2023-11-23T19:58:34ZengMDPI AGFractal and Fractional2504-31102022-01-01626210.3390/fractalfract6020062Robust Stability of Fractional Order Memristive BAM Neural Networks with Mixed and Additive Time Varying DelaysXiuping Han0M. Hymavathi1Sumaya Sanober2Bhawna Dhupia3M. Syed Ali4School of Mathematics and Statistics, Shandong Normal University, Jinan 250014, ChinaDepartment of Mathematics, Thiruvalluvar University, Vellore 632115, IndiaDepartment of Computer Science, College of Arts and Science, Prince Sattam Bin Abdulaziz University, Wadi Aldawaser 11991, Saudi ArabiaDepartment of Computer Science, College of Arts and Science, Prince Sattam Bin Abdulaziz University, Wadi Aldawaser 11991, Saudi ArabiaDepartment of Mathematics, Thiruvalluvar University, Vellore 632115, IndiaThis paper is concerned with the problem of the robust stability of fractional-order memristive bidirectional associative memory (BAM) neural networks. Based on Lyapunov theory, fractional-order differential inequalities and linear matrix inequalities (LMI) are applied to obtain a robust asymptotical stability. Finally, numerical examples are presented.https://www.mdpi.com/2504-3110/6/2/62robust stabilitymemristive BAM neural networksfractional ordermixed and additive time varying delays
spellingShingle Xiuping Han
M. Hymavathi
Sumaya Sanober
Bhawna Dhupia
M. Syed Ali
Robust Stability of Fractional Order Memristive BAM Neural Networks with Mixed and Additive Time Varying Delays
Fractal and Fractional
robust stability
memristive BAM neural networks
fractional order
mixed and additive time varying delays
title Robust Stability of Fractional Order Memristive BAM Neural Networks with Mixed and Additive Time Varying Delays
title_full Robust Stability of Fractional Order Memristive BAM Neural Networks with Mixed and Additive Time Varying Delays
title_fullStr Robust Stability of Fractional Order Memristive BAM Neural Networks with Mixed and Additive Time Varying Delays
title_full_unstemmed Robust Stability of Fractional Order Memristive BAM Neural Networks with Mixed and Additive Time Varying Delays
title_short Robust Stability of Fractional Order Memristive BAM Neural Networks with Mixed and Additive Time Varying Delays
title_sort robust stability of fractional order memristive bam neural networks with mixed and additive time varying delays
topic robust stability
memristive BAM neural networks
fractional order
mixed and additive time varying delays
url https://www.mdpi.com/2504-3110/6/2/62
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AT mhymavathi robuststabilityoffractionalordermemristivebamneuralnetworkswithmixedandadditivetimevaryingdelays
AT sumayasanober robuststabilityoffractionalordermemristivebamneuralnetworkswithmixedandadditivetimevaryingdelays
AT bhawnadhupia robuststabilityoffractionalordermemristivebamneuralnetworkswithmixedandadditivetimevaryingdelays
AT msyedali robuststabilityoffractionalordermemristivebamneuralnetworkswithmixedandadditivetimevaryingdelays