Complete Periodic Synchronization of Memristor-Based Neural Networks with Time-Varying Delays

This paper investigates the complete periodic synchronization of memristor-based neural networks with time-varying delays. Firstly, under the framework of Filippov solutions, by using M-matrix theory and the Mawhin-like coincidence theorem in set-valued analysis, the existence of the periodic soluti...

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Main Authors: Huaiqin Wu, Luying Zhang, Sanbo Ding, Xueqing Guo, Lingling Wang
Format: Article
Language:English
Published: Wiley 2013-01-01
Series:Discrete Dynamics in Nature and Society
Online Access:http://dx.doi.org/10.1155/2013/140153
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author Huaiqin Wu
Luying Zhang
Sanbo Ding
Xueqing Guo
Lingling Wang
author_facet Huaiqin Wu
Luying Zhang
Sanbo Ding
Xueqing Guo
Lingling Wang
author_sort Huaiqin Wu
collection DOAJ
description This paper investigates the complete periodic synchronization of memristor-based neural networks with time-varying delays. Firstly, under the framework of Filippov solutions, by using M-matrix theory and the Mawhin-like coincidence theorem in set-valued analysis, the existence of the periodic solution for the network system is proved. Secondly, complete periodic synchronization is considered for memristor-based neural networks. According to the state-dependent switching feature of the memristor, the error system is divided into four cases. Adaptive controller is designed such that the considered model can realize global asymptotical synchronization. Finally, an illustrative example is given to demonstrate the validity of the theoretical results.
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institution Kabale University
issn 1026-0226
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language English
publishDate 2013-01-01
publisher Wiley
record_format Article
series Discrete Dynamics in Nature and Society
spelling doaj-art-34925155a24a459bac4ef74be0093a672025-02-03T01:11:47ZengWileyDiscrete Dynamics in Nature and Society1026-02261607-887X2013-01-01201310.1155/2013/140153140153Complete Periodic Synchronization of Memristor-Based Neural Networks with Time-Varying DelaysHuaiqin Wu0Luying Zhang1Sanbo Ding2Xueqing Guo3Lingling Wang4Department of Applied Mathematics, Yanshan University, Qinhuangdao 066001, ChinaDepartment of Applied Mathematics, Yanshan University, Qinhuangdao 066001, ChinaDepartment of Applied Mathematics, Yanshan University, Qinhuangdao 066001, ChinaDepartment of Applied Mathematics, Yanshan University, Qinhuangdao 066001, ChinaDepartment of Applied Mathematics, Yanshan University, Qinhuangdao 066001, ChinaThis paper investigates the complete periodic synchronization of memristor-based neural networks with time-varying delays. Firstly, under the framework of Filippov solutions, by using M-matrix theory and the Mawhin-like coincidence theorem in set-valued analysis, the existence of the periodic solution for the network system is proved. Secondly, complete periodic synchronization is considered for memristor-based neural networks. According to the state-dependent switching feature of the memristor, the error system is divided into four cases. Adaptive controller is designed such that the considered model can realize global asymptotical synchronization. Finally, an illustrative example is given to demonstrate the validity of the theoretical results.http://dx.doi.org/10.1155/2013/140153
spellingShingle Huaiqin Wu
Luying Zhang
Sanbo Ding
Xueqing Guo
Lingling Wang
Complete Periodic Synchronization of Memristor-Based Neural Networks with Time-Varying Delays
Discrete Dynamics in Nature and Society
title Complete Periodic Synchronization of Memristor-Based Neural Networks with Time-Varying Delays
title_full Complete Periodic Synchronization of Memristor-Based Neural Networks with Time-Varying Delays
title_fullStr Complete Periodic Synchronization of Memristor-Based Neural Networks with Time-Varying Delays
title_full_unstemmed Complete Periodic Synchronization of Memristor-Based Neural Networks with Time-Varying Delays
title_short Complete Periodic Synchronization of Memristor-Based Neural Networks with Time-Varying Delays
title_sort complete periodic synchronization of memristor based neural networks with time varying delays
url http://dx.doi.org/10.1155/2013/140153
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AT sanboding completeperiodicsynchronizationofmemristorbasedneuralnetworkswithtimevaryingdelays
AT xueqingguo completeperiodicsynchronizationofmemristorbasedneuralnetworkswithtimevaryingdelays
AT linglingwang completeperiodicsynchronizationofmemristorbasedneuralnetworkswithtimevaryingdelays