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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Format: | Article |
Language: | English |
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Wiley
2019-01-01
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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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