Adaptive Synchronization of Fractional Neural Networks with Unknown Parameters and Time Delays
In this paper, the parameters identification and synchronization problem of fractional-order neural networks with time delays are investigated. Based on some analytical techniques and an adaptive control method, a simple adaptive synchronization controller and parameter update laws are designed to s...
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2014-12-01
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doaj-21a887926ef64cc4975acdde66ad82262020-11-25T01:06:12ZengMDPI AGEntropy1099-43002014-12-0116126286629910.3390/e16126286e16126286Adaptive Synchronization of Fractional Neural Networks with Unknown Parameters and Time DelaysWeiyuan Ma0Changpin Li1Yujiang Wu2Yongqing Wu3School of Mathematics and Statistics, Lanzhou University, Lanzhou 730000, ChinaDepartment of Mathematics, Shanghai University, Shanghai 200444, ChinaSchool of Mathematics and Statistics, Lanzhou University, Lanzhou 730000, ChinaBasic Teaching Department, Liaoning Technical University, Huludao 125105, ChinaIn this paper, the parameters identification and synchronization problem of fractional-order neural networks with time delays are investigated. Based on some analytical techniques and an adaptive control method, a simple adaptive synchronization controller and parameter update laws are designed to synchronize two uncertain complex networks with time delays. Besides, the system parameters in the uncertain network can be identified in the process of synchronization. To demonstrate the validity of the proposed method, several illustrative examples are presented.http://www.mdpi.com/1099-4300/16/12/6286fractional neural networkssynchronizationadaptive controlparameters identificationtime delays |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Weiyuan Ma Changpin Li Yujiang Wu Yongqing Wu |
spellingShingle |
Weiyuan Ma Changpin Li Yujiang Wu Yongqing Wu Adaptive Synchronization of Fractional Neural Networks with Unknown Parameters and Time Delays Entropy fractional neural networks synchronization adaptive control parameters identification time delays |
author_facet |
Weiyuan Ma Changpin Li Yujiang Wu Yongqing Wu |
author_sort |
Weiyuan Ma |
title |
Adaptive Synchronization of Fractional Neural Networks with Unknown Parameters and Time Delays |
title_short |
Adaptive Synchronization of Fractional Neural Networks with Unknown Parameters and Time Delays |
title_full |
Adaptive Synchronization of Fractional Neural Networks with Unknown Parameters and Time Delays |
title_fullStr |
Adaptive Synchronization of Fractional Neural Networks with Unknown Parameters and Time Delays |
title_full_unstemmed |
Adaptive Synchronization of Fractional Neural Networks with Unknown Parameters and Time Delays |
title_sort |
adaptive synchronization of fractional neural networks with unknown parameters and time delays |
publisher |
MDPI AG |
series |
Entropy |
issn |
1099-4300 |
publishDate |
2014-12-01 |
description |
In this paper, the parameters identification and synchronization problem of fractional-order neural networks with time delays are investigated. Based on some analytical techniques and an adaptive control method, a simple adaptive synchronization controller and parameter update laws are designed to synchronize two uncertain complex networks with time delays. Besides, the system parameters in the uncertain network can be identified in the process of synchronization. To demonstrate the validity of the proposed method, several illustrative examples are presented. |
topic |
fractional neural networks synchronization adaptive control parameters identification time delays |
url |
http://www.mdpi.com/1099-4300/16/12/6286 |
work_keys_str_mv |
AT weiyuanma adaptivesynchronizationoffractionalneuralnetworkswithunknownparametersandtimedelays AT changpinli adaptivesynchronizationoffractionalneuralnetworkswithunknownparametersandtimedelays AT yujiangwu adaptivesynchronizationoffractionalneuralnetworkswithunknownparametersandtimedelays AT yongqingwu adaptivesynchronizationoffractionalneuralnetworkswithunknownparametersandtimedelays |
_version_ |
1725190870046605312 |