Synchronization of Inertial Neural Networks with Time-Varying Delays

This paper addresses the synchronization problem for inertial neural networks with time-varying delay. By using a proper variable substitution to transform the original system into a first-order differential system, constructing the Lyapunov-Krasovskii functional( LKF) containing the Kronecker produ...

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Main Author: LU Shuang;GAO Yanbo
Format: Article
Language:English
Published: Editorial Department of Journal of Nantong University (Natural Science Edition) 2020-03-01
Series:Nantong Daxue xuebao. Ziran kexue ban
Subjects:
Online Access:https://ngzk.cbpt.cnki.net/portal/journal/portal/client/paper/NGZK_d8baa2dc-db2c-4da4-af14-964941eff39a
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author LU Shuang;GAO Yanbo
author_facet LU Shuang;GAO Yanbo
author_sort LU Shuang;GAO Yanbo
collection DOAJ
description This paper addresses the synchronization problem for inertial neural networks with time-varying delay. By using a proper variable substitution to transform the original system into a first-order differential system, constructing the Lyapunov-Krasovskii functional( LKF) containing the Kronecker product of matrices, applying Jensen inequality, the reciprocally convex inequality and the linear matrix inequality( LMI) technique to estimate the derivative of the LKF, a novel synchronization criterion in terms of LMIs is obtained, and a design method for the error feedback controller is presented based on the synchronization criterion. And a numerical simulation example shows the effectiveness of the proposed results.
format Article
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institution OA Journals
issn 1673-2340
language English
publishDate 2020-03-01
publisher Editorial Department of Journal of Nantong University (Natural Science Edition)
record_format Article
series Nantong Daxue xuebao. Ziran kexue ban
spelling doaj-art-dc0e815c65b44fa6b877d80b40214c192025-08-20T02:20:23ZengEditorial Department of Journal of Nantong University (Natural Science Edition)Nantong Daxue xuebao. Ziran kexue ban1673-23402020-03-011901839410.12194/j.ntu.20190402001Synchronization of Inertial Neural Networks with Time-Varying DelaysLU Shuang;GAO YanboThis paper addresses the synchronization problem for inertial neural networks with time-varying delay. By using a proper variable substitution to transform the original system into a first-order differential system, constructing the Lyapunov-Krasovskii functional( LKF) containing the Kronecker product of matrices, applying Jensen inequality, the reciprocally convex inequality and the linear matrix inequality( LMI) technique to estimate the derivative of the LKF, a novel synchronization criterion in terms of LMIs is obtained, and a design method for the error feedback controller is presented based on the synchronization criterion. And a numerical simulation example shows the effectiveness of the proposed results.https://ngzk.cbpt.cnki.net/portal/journal/portal/client/paper/NGZK_d8baa2dc-db2c-4da4-af14-964941eff39ainertial neural networkstime-varying delayssynchronizationcontroller design
spellingShingle LU Shuang;GAO Yanbo
Synchronization of Inertial Neural Networks with Time-Varying Delays
Nantong Daxue xuebao. Ziran kexue ban
inertial neural networks
time-varying delays
synchronization
controller design
title Synchronization of Inertial Neural Networks with Time-Varying Delays
title_full Synchronization of Inertial Neural Networks with Time-Varying Delays
title_fullStr Synchronization of Inertial Neural Networks with Time-Varying Delays
title_full_unstemmed Synchronization of Inertial Neural Networks with Time-Varying Delays
title_short Synchronization of Inertial Neural Networks with Time-Varying Delays
title_sort synchronization of inertial neural networks with time varying delays
topic inertial neural networks
time-varying delays
synchronization
controller design
url https://ngzk.cbpt.cnki.net/portal/journal/portal/client/paper/NGZK_d8baa2dc-db2c-4da4-af14-964941eff39a
work_keys_str_mv AT lushuanggaoyanbo synchronizationofinertialneuralnetworkswithtimevaryingdelays