Quasi-Synchronization of Nonidentical Fractional-Order Memristive Neural Networks via Impulsive Control

This paper investigates the quasi-synchronization of nonidentical fractional-order memristive neural networks (FMNNs) via impulsive control. Based on a newly provided fractional-order impulsive systems comparison lemma, the average impulsive interval definition, and the Laplace transform, some quasi...

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Main Authors: Ruihan Chen, Tianfeng Zhao
Format: Article
Language:English
Published: Wiley 2021-01-01
Series:Discrete Dynamics in Nature and Society
Online Access:http://dx.doi.org/10.1155/2021/6659063
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author Ruihan Chen
Tianfeng Zhao
author_facet Ruihan Chen
Tianfeng Zhao
author_sort Ruihan Chen
collection DOAJ
description This paper investigates the quasi-synchronization of nonidentical fractional-order memristive neural networks (FMNNs) via impulsive control. Based on a newly provided fractional-order impulsive systems comparison lemma, the average impulsive interval definition, and the Laplace transform, some quasi-synchronization conditions are obtained with fractional order 0<α<1. In addition, the error convergence rates and error boundary are also obtained. Finally, one simulation example is presented to show the validity of our results.
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institution Kabale University
issn 1026-0226
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language English
publishDate 2021-01-01
publisher Wiley
record_format Article
series Discrete Dynamics in Nature and Society
spelling doaj-art-4ae9319f3e8448eb833f1eaaa12b218e2025-02-03T01:20:10ZengWileyDiscrete Dynamics in Nature and Society1026-02261607-887X2021-01-01202110.1155/2021/66590636659063Quasi-Synchronization of Nonidentical Fractional-Order Memristive Neural Networks via Impulsive ControlRuihan Chen0Tianfeng Zhao1School of Mathematics, China University of Mining and Technology, Xuzhou 221116, ChinaCollege of Electrical Engineering, Nantong University, Nantong 226019, ChinaThis paper investigates the quasi-synchronization of nonidentical fractional-order memristive neural networks (FMNNs) via impulsive control. Based on a newly provided fractional-order impulsive systems comparison lemma, the average impulsive interval definition, and the Laplace transform, some quasi-synchronization conditions are obtained with fractional order 0<α<1. In addition, the error convergence rates and error boundary are also obtained. Finally, one simulation example is presented to show the validity of our results.http://dx.doi.org/10.1155/2021/6659063
spellingShingle Ruihan Chen
Tianfeng Zhao
Quasi-Synchronization of Nonidentical Fractional-Order Memristive Neural Networks via Impulsive Control
Discrete Dynamics in Nature and Society
title Quasi-Synchronization of Nonidentical Fractional-Order Memristive Neural Networks via Impulsive Control
title_full Quasi-Synchronization of Nonidentical Fractional-Order Memristive Neural Networks via Impulsive Control
title_fullStr Quasi-Synchronization of Nonidentical Fractional-Order Memristive Neural Networks via Impulsive Control
title_full_unstemmed Quasi-Synchronization of Nonidentical Fractional-Order Memristive Neural Networks via Impulsive Control
title_short Quasi-Synchronization of Nonidentical Fractional-Order Memristive Neural Networks via Impulsive Control
title_sort quasi synchronization of nonidentical fractional order memristive neural networks via impulsive control
url http://dx.doi.org/10.1155/2021/6659063
work_keys_str_mv AT ruihanchen quasisynchronizationofnonidenticalfractionalordermemristiveneuralnetworksviaimpulsivecontrol
AT tianfengzhao quasisynchronizationofnonidenticalfractionalordermemristiveneuralnetworksviaimpulsivecontrol