Synchronization of Neural Networks with Mixed Time Delays under Information Constraints
This paper investigates the synchronization problem of neural networks with mixed time delays under information constrains. The designed synchronization scheme is built on the framework of hybrid systems. Besides including nonuniform sampling, some other characteristics, such as quantization, transm...
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Format: | Article |
Language: | English |
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Wiley
2013-01-01
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Series: | Abstract and Applied Analysis |
Online Access: | http://dx.doi.org/10.1155/2013/510903 |
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author | Dedong Yang He-Xu Sun Peng Yang Tai-Hang Du |
author_facet | Dedong Yang He-Xu Sun Peng Yang Tai-Hang Du |
author_sort | Dedong Yang |
collection | DOAJ |
description | This paper investigates the synchronization problem of neural networks with mixed time delays under information constrains. The designed synchronization scheme is built on the framework of hybrid systems. Besides including nonuniform sampling, some other characteristics, such as quantization, transmission-induced delays, and data packet dropouts, are also considered. The sufficient condition that depended on network characteristics is obtained to guarantee the remote asymptotical synchronization of neural networks with mixed time delays. A numerical example is given to illustrate the validity of the proposed method. |
format | Article |
id | doaj-art-fa13900b1edc483892720710ea9375d9 |
institution | Kabale University |
issn | 1085-3375 1687-0409 |
language | English |
publishDate | 2013-01-01 |
publisher | Wiley |
record_format | Article |
series | Abstract and Applied Analysis |
spelling | doaj-art-fa13900b1edc483892720710ea9375d92025-02-03T05:52:33ZengWileyAbstract and Applied Analysis1085-33751687-04092013-01-01201310.1155/2013/510903510903Synchronization of Neural Networks with Mixed Time Delays under Information ConstraintsDedong Yang0He-Xu Sun1Peng Yang2Tai-Hang Du3School of Control Science and Engineering, Hebei University of Technology, Tianjin 300130, ChinaHebei University of Science and Technology, Shijiazhuang 050018, ChinaSchool of Control Science and Engineering, Hebei University of Technology, Tianjin 300130, ChinaSchool of Control Science and Engineering, Hebei University of Technology, Tianjin 300130, ChinaThis paper investigates the synchronization problem of neural networks with mixed time delays under information constrains. The designed synchronization scheme is built on the framework of hybrid systems. Besides including nonuniform sampling, some other characteristics, such as quantization, transmission-induced delays, and data packet dropouts, are also considered. The sufficient condition that depended on network characteristics is obtained to guarantee the remote asymptotical synchronization of neural networks with mixed time delays. A numerical example is given to illustrate the validity of the proposed method.http://dx.doi.org/10.1155/2013/510903 |
spellingShingle | Dedong Yang He-Xu Sun Peng Yang Tai-Hang Du Synchronization of Neural Networks with Mixed Time Delays under Information Constraints Abstract and Applied Analysis |
title | Synchronization of Neural Networks with Mixed Time Delays under Information Constraints |
title_full | Synchronization of Neural Networks with Mixed Time Delays under Information Constraints |
title_fullStr | Synchronization of Neural Networks with Mixed Time Delays under Information Constraints |
title_full_unstemmed | Synchronization of Neural Networks with Mixed Time Delays under Information Constraints |
title_short | Synchronization of Neural Networks with Mixed Time Delays under Information Constraints |
title_sort | synchronization of neural networks with mixed time delays under information constraints |
url | http://dx.doi.org/10.1155/2013/510903 |
work_keys_str_mv | AT dedongyang synchronizationofneuralnetworkswithmixedtimedelaysunderinformationconstraints AT hexusun synchronizationofneuralnetworkswithmixedtimedelaysunderinformationconstraints AT pengyang synchronizationofneuralnetworkswithmixedtimedelaysunderinformationconstraints AT taihangdu synchronizationofneuralnetworkswithmixedtimedelaysunderinformationconstraints |