Anti-Synchronization for Complex-Valued Bidirectional Associative Memory Neural Networks With Time-Varying Delays

Anti-Synchronization for Complex-Valued Bidirectional Associative Memory Neural Networks With Time-Varying Delays

This paper focuses on the anti-synchronization problem of complex-valued bidirectional associative memory (BAM) neural networks with time-varying delays. Based on a suitable Lyapunov functional, a sufficient condition for guaranteeing the anti-synchronization of the considered system is derived by u...

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Main Authors: Xiaofeng Wei, Ziye Zhang, Maiying Zhong, Meijuan Liu, Zhen Wang
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Complex-valued BAM neural networks
anti-synchronization
time-varying delays
Online Access:https://ieeexplore.ieee.org/document/8762177/
id doaj-ce8ce2052d1d496bafca9f8cfd49d98b
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spelling doaj-ce8ce2052d1d496bafca9f8cfd49d98b2021-04-05T17:18:29ZengIEEEIEEE Access2169-35362019-01-017975369754810.1109/ACCESS.2019.29285978762177Anti-Synchronization for Complex-Valued Bidirectional Associative Memory Neural Networks With Time-Varying DelaysXiaofeng Wei0Ziye Zhang1https://orcid.org/0000-0002-5099-5486Maiying Zhong2Meijuan Liu3Zhen Wang4https://orcid.org/0000-0001-7188-5828College of Mathematics and Systems Science, Shandong University of Science and Technology, Qingdao, ChinaCollege of Mathematics and Systems Science, Shandong University of Science and Technology, Qingdao, ChinaCollege of Electrical Engineering and Automation, Shandong University of Science and Technology, Qingdao, ChinaCollege of Mathematics and Systems Science, Shandong University of Science and Technology, Qingdao, ChinaCollege of Mathematics and Systems Science, Shandong University of Science and Technology, Qingdao, ChinaThis paper focuses on the anti-synchronization problem of complex-valued bidirectional associative memory (BAM) neural networks with time-varying delays. Based on a suitable Lyapunov functional, a sufficient condition for guaranteeing the anti-synchronization of the considered system is derived by using the inequality techniques. For delayed complex-valued BAM neural networks, it is the first time that the anti-synchronization control problem is addressed. So, our work not only fills the gap in this field but also complements the previous results. In the end, two numerical examples are provided to show the effectiveness of the obtained result.https://ieeexplore.ieee.org/document/8762177/Complex-valued BAM neural networksanti-synchronizationtime-varying delays
collection DOAJ
language English
format Article
sources DOAJ
author Xiaofeng Wei
Ziye Zhang
Maiying Zhong
Meijuan Liu
Zhen Wang
spellingShingle Xiaofeng Wei
Ziye Zhang
Maiying Zhong
Meijuan Liu
Zhen Wang
Anti-Synchronization for Complex-Valued Bidirectional Associative Memory Neural Networks With Time-Varying Delays
IEEE Access
Complex-valued BAM neural networks
anti-synchronization
time-varying delays
author_facet Xiaofeng Wei
Ziye Zhang
Maiying Zhong
Meijuan Liu
Zhen Wang
author_sort Xiaofeng Wei
title Anti-Synchronization for Complex-Valued Bidirectional Associative Memory Neural Networks With Time-Varying Delays
title_short Anti-Synchronization for Complex-Valued Bidirectional Associative Memory Neural Networks With Time-Varying Delays
title_full Anti-Synchronization for Complex-Valued Bidirectional Associative Memory Neural Networks With Time-Varying Delays
title_fullStr Anti-Synchronization for Complex-Valued Bidirectional Associative Memory Neural Networks With Time-Varying Delays
title_full_unstemmed Anti-Synchronization for Complex-Valued Bidirectional Associative Memory Neural Networks With Time-Varying Delays
title_sort anti-synchronization for complex-valued bidirectional associative memory neural networks with time-varying delays
publisher IEEE
series IEEE Access
issn 2169-3536
publishDate 2019-01-01
description This paper focuses on the anti-synchronization problem of complex-valued bidirectional associative memory (BAM) neural networks with time-varying delays. Based on a suitable Lyapunov functional, a sufficient condition for guaranteeing the anti-synchronization of the considered system is derived by using the inequality techniques. For delayed complex-valued BAM neural networks, it is the first time that the anti-synchronization control problem is addressed. So, our work not only fills the gap in this field but also complements the previous results. In the end, two numerical examples are provided to show the effectiveness of the obtained result.
topic Complex-valued BAM neural networks
anti-synchronization
time-varying delays
url https://ieeexplore.ieee.org/document/8762177/
work_keys_str_mv AT xiaofengwei antisynchronizationforcomplexvaluedbidirectionalassociativememoryneuralnetworkswithtimevaryingdelays
AT ziyezhang antisynchronizationforcomplexvaluedbidirectionalassociativememoryneuralnetworkswithtimevaryingdelays
AT maiyingzhong antisynchronizationforcomplexvaluedbidirectionalassociativememoryneuralnetworkswithtimevaryingdelays
AT meijuanliu antisynchronizationforcomplexvaluedbidirectionalassociativememoryneuralnetworkswithtimevaryingdelays
AT zhenwang antisynchronizationforcomplexvaluedbidirectionalassociativememoryneuralnetworkswithtimevaryingdelays
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