Exponential Synchronization of Neural Networks via Feedback Control in Complex Environment
The problem of exponential synchronization for neural networks is investigated via feedback control in complex environment. By constructing suitable Lyapunov-Krasovskii functionals and applying the piecewise analytic method, some sufficient criteria for exponential synchronization of the addressed n...
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2018-01-01
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Series: | Complexity |
Online Access: | http://dx.doi.org/10.1155/2018/4352714 |
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doaj-3ff8f72b1f6449ada9fd2d68c250b7d72020-11-25T01:11:32ZengHindawi-WileyComplexity1076-27871099-05262018-01-01201810.1155/2018/43527144352714Exponential Synchronization of Neural Networks via Feedback Control in Complex EnvironmentXiaoxiao Lv0Xiaodi Li1Jinde Cao2Peiyong Duan3School of Mathematics and Statistics, Shandong Normal University, Jinan 250014, ChinaSchool of Mathematics and Statistics, Shandong Normal University, Jinan 250014, ChinaSchool of Mathematics, Southeast University, Nanjing 210096, ChinaSchool of Information Science and Engineering, Shandong Normal University, Jinan 250014, ChinaThe problem of exponential synchronization for neural networks is investigated via feedback control in complex environment. By constructing suitable Lyapunov-Krasovskii functionals and applying the piecewise analytic method, some sufficient criteria for exponential synchronization of the addressed neural networks are established in terms of linear matrix inequalities (LMIs). The feedback control in complex environment includes the delayed aperiodically intermittent control and dynamic output feedback control. Moreover, the delayed aperiodically intermittent dynamic output feedback controller is designed based on the established LMIs. A numerical example and its numerical simulations are finally presented to show the effectiveness of obtained theoretical results.http://dx.doi.org/10.1155/2018/4352714 |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Xiaoxiao Lv Xiaodi Li Jinde Cao Peiyong Duan |
spellingShingle |
Xiaoxiao Lv Xiaodi Li Jinde Cao Peiyong Duan Exponential Synchronization of Neural Networks via Feedback Control in Complex Environment Complexity |
author_facet |
Xiaoxiao Lv Xiaodi Li Jinde Cao Peiyong Duan |
author_sort |
Xiaoxiao Lv |
title |
Exponential Synchronization of Neural Networks via Feedback Control in Complex Environment |
title_short |
Exponential Synchronization of Neural Networks via Feedback Control in Complex Environment |
title_full |
Exponential Synchronization of Neural Networks via Feedback Control in Complex Environment |
title_fullStr |
Exponential Synchronization of Neural Networks via Feedback Control in Complex Environment |
title_full_unstemmed |
Exponential Synchronization of Neural Networks via Feedback Control in Complex Environment |
title_sort |
exponential synchronization of neural networks via feedback control in complex environment |
publisher |
Hindawi-Wiley |
series |
Complexity |
issn |
1076-2787 1099-0526 |
publishDate |
2018-01-01 |
description |
The problem of exponential synchronization for neural networks is investigated via feedback control in complex environment. By constructing suitable Lyapunov-Krasovskii functionals and applying the piecewise analytic method, some sufficient criteria for exponential synchronization of the addressed neural networks are established in terms of linear matrix inequalities (LMIs). The feedback control in complex environment includes the delayed aperiodically intermittent control and dynamic output feedback control. Moreover, the delayed aperiodically intermittent dynamic output feedback controller is designed based on the established LMIs. A numerical example and its numerical simulations are finally presented to show the effectiveness of obtained theoretical results. |
url |
http://dx.doi.org/10.1155/2018/4352714 |
work_keys_str_mv |
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_version_ |
1725171106119155712 |