Projective Synchronization of Nonidentical Fractional-Order Memristive Neural Networks

This paper investigates projective synchronization of nonidentical fractional-order memristive neural networks (NFMNN) via sliding mode controller. Firstly, based on the sliding mode control theory, a new fractional-order integral sliding mode controller is designed to ensure the occurrence of slidi...

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Main Authors: Chong Chen, Zhixia Ding
Format: Article
Language:English
Published: Wiley 2019-01-01
Series:Discrete Dynamics in Nature and Society
Online Access:http://dx.doi.org/10.1155/2019/8743482
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author Chong Chen
Zhixia Ding
author_facet Chong Chen
Zhixia Ding
author_sort Chong Chen
collection DOAJ
description This paper investigates projective synchronization of nonidentical fractional-order memristive neural networks (NFMNN) via sliding mode controller. Firstly, based on the sliding mode control theory, a new fractional-order integral sliding mode controller is designed to ensure the occurrence of sliding motion. Furthermore, according to fractional-order differential inequalities and fractional-order Lyapunov direct method, the trajectories of the system converge to the sliding mode surface to carry out sliding mode motion, and some sufficient criteria are obtained to achieve global projective synchronization of NFMNN. In addition, the conclusions extend and improve some previous works on the synchronization of fractional-order memristive neural networks (FMNN). Finally, a simulation example is given to verify the effectiveness and correctness of the obtained results.
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institution Kabale University
issn 1026-0226
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language English
publishDate 2019-01-01
publisher Wiley
record_format Article
series Discrete Dynamics in Nature and Society
spelling doaj-art-65e0939afa9d45b3b75ed2636a1d1d9e2025-02-03T00:59:44ZengWileyDiscrete Dynamics in Nature and Society1026-02261607-887X2019-01-01201910.1155/2019/87434828743482Projective Synchronization of Nonidentical Fractional-Order Memristive Neural NetworksChong Chen0Zhixia Ding1School of Electrical and Information Engineering, Wuhan Institute of Technology, Wuhan 430205, ChinaSchool of Electrical and Information Engineering, Wuhan Institute of Technology, Wuhan 430205, ChinaThis paper investigates projective synchronization of nonidentical fractional-order memristive neural networks (NFMNN) via sliding mode controller. Firstly, based on the sliding mode control theory, a new fractional-order integral sliding mode controller is designed to ensure the occurrence of sliding motion. Furthermore, according to fractional-order differential inequalities and fractional-order Lyapunov direct method, the trajectories of the system converge to the sliding mode surface to carry out sliding mode motion, and some sufficient criteria are obtained to achieve global projective synchronization of NFMNN. In addition, the conclusions extend and improve some previous works on the synchronization of fractional-order memristive neural networks (FMNN). Finally, a simulation example is given to verify the effectiveness and correctness of the obtained results.http://dx.doi.org/10.1155/2019/8743482
spellingShingle Chong Chen
Zhixia Ding
Projective Synchronization of Nonidentical Fractional-Order Memristive Neural Networks
Discrete Dynamics in Nature and Society
title Projective Synchronization of Nonidentical Fractional-Order Memristive Neural Networks
title_full Projective Synchronization of Nonidentical Fractional-Order Memristive Neural Networks
title_fullStr Projective Synchronization of Nonidentical Fractional-Order Memristive Neural Networks
title_full_unstemmed Projective Synchronization of Nonidentical Fractional-Order Memristive Neural Networks
title_short Projective Synchronization of Nonidentical Fractional-Order Memristive Neural Networks
title_sort projective synchronization of nonidentical fractional order memristive neural networks
url http://dx.doi.org/10.1155/2019/8743482
work_keys_str_mv AT chongchen projectivesynchronizationofnonidenticalfractionalordermemristiveneuralnetworks
AT zhixiading projectivesynchronizationofnonidenticalfractionalordermemristiveneuralnetworks