Synchronization in pth Moment for Stochastic Chaotic Neural Networks with Finite-Time Control

Finite-time synchronization in pth moment is considered for time varying stochastic chaotic neural networks. Compared with some existing results about finite-time mean square stability of stochastic neural network, we obtain some useful criteria of finite-time synchronization in pth moment for chaot...

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Main Authors: Yuhua Xu, Jinmeng Wang, Wuneng Zhou, Xin Wang
Format: Article
Language:English
Published: Wiley 2019-01-01
Series:Complexity
Online Access:http://dx.doi.org/10.1155/2019/2916364
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author Yuhua Xu
Jinmeng Wang
Wuneng Zhou
Xin Wang
author_facet Yuhua Xu
Jinmeng Wang
Wuneng Zhou
Xin Wang
author_sort Yuhua Xu
collection DOAJ
description Finite-time synchronization in pth moment is considered for time varying stochastic chaotic neural networks. Compared with some existing results about finite-time mean square stability of stochastic neural network, we obtain some useful criteria of finite-time synchronization in pth moment for chaotic neural networks based on finite-time nonlinear feedback control and finite-time adaptive feedback control, which are efficient and easy to implement in practical applications. Finally, a numerical example is given to illustrate the validity of the derived synchronization conditions.
format Article
id doaj-art-d83d5e86f3d343e597b47f2fc74bf2c8
institution Kabale University
issn 1076-2787
1099-0526
language English
publishDate 2019-01-01
publisher Wiley
record_format Article
series Complexity
spelling doaj-art-d83d5e86f3d343e597b47f2fc74bf2c82025-02-03T07:25:52ZengWileyComplexity1076-27871099-05262019-01-01201910.1155/2019/29163642916364Synchronization in pth Moment for Stochastic Chaotic Neural Networks with Finite-Time ControlYuhua Xu0Jinmeng Wang1Wuneng Zhou2Xin Wang3School of Finance, Nanjing Audit University, Jiangsu 211815, ChinaSchool of Finance, Nanjing Audit University, Jiangsu 211815, ChinaCollege of Information Science and Technology, Donghua University, Shanghai 201620, ChinaZhejiang Business Technology Institute, Zhejiang 315012, ChinaFinite-time synchronization in pth moment is considered for time varying stochastic chaotic neural networks. Compared with some existing results about finite-time mean square stability of stochastic neural network, we obtain some useful criteria of finite-time synchronization in pth moment for chaotic neural networks based on finite-time nonlinear feedback control and finite-time adaptive feedback control, which are efficient and easy to implement in practical applications. Finally, a numerical example is given to illustrate the validity of the derived synchronization conditions.http://dx.doi.org/10.1155/2019/2916364
spellingShingle Yuhua Xu
Jinmeng Wang
Wuneng Zhou
Xin Wang
Synchronization in pth Moment for Stochastic Chaotic Neural Networks with Finite-Time Control
Complexity
title Synchronization in pth Moment for Stochastic Chaotic Neural Networks with Finite-Time Control
title_full Synchronization in pth Moment for Stochastic Chaotic Neural Networks with Finite-Time Control
title_fullStr Synchronization in pth Moment for Stochastic Chaotic Neural Networks with Finite-Time Control
title_full_unstemmed Synchronization in pth Moment for Stochastic Chaotic Neural Networks with Finite-Time Control
title_short Synchronization in pth Moment for Stochastic Chaotic Neural Networks with Finite-Time Control
title_sort synchronization in pth moment for stochastic chaotic neural networks with finite time control
url http://dx.doi.org/10.1155/2019/2916364
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AT jinmengwang synchronizationinpthmomentforstochasticchaoticneuralnetworkswithfinitetimecontrol
AT wunengzhou synchronizationinpthmomentforstochasticchaoticneuralnetworkswithfinitetimecontrol
AT xinwang synchronizationinpthmomentforstochasticchaoticneuralnetworkswithfinitetimecontrol