Global exponential synchronization of delayed memristive neural networks with reaction-diffusion terms.

Cao, Y; Cao, Y; Guo, Z; Huang, T; Wen, S

Global exponential synchronization of delayed memristive neural networks with reaction-diffusion terms.

Cao, Y Cao, Y Guo, Z Huang, T Wen, S

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Publisher:: Elsevier BV
Publication Type:: Journal Article
Citation:: Neural networks : the official journal of the International Neural Network Society, 2020, 123, pp. 70-81
Issue Date:: 2020-03

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Field	Value	Language
dc.contributor.author	Cao, Y
dc.contributor.author	Cao, Y
dc.contributor.author	Guo, Z
dc.contributor.author	Huang, T
dc.contributor.author	Wen, S https://orcid.org/0000-0002-5048-0319
dc.date.accessioned	2021-01-11T05:17:08Z
dc.date.available	2019-11-12
dc.date.available	2021-01-11T05:17:08Z
dc.date.issued	2020-03
dc.identifier.citation	Neural networks : the official journal of the International Neural Network Society, 2020, 123, pp. 70-81
dc.identifier.issn	0893-6080
dc.identifier.issn	1879-2782
dc.identifier.uri	http://hdl.handle.net/10453/145294
dc.description.abstract	This paper investigates the global exponential synchronization problem of delayed memristive neural networks (MNNs) with reaction-diffusion terms. First, by utilizing the pinning control technique, two novel kinds of control methods are introduced to achieve synchronization of delayed MNNs with reaction-diffusion terms. Then, with the help of inequality techniques, pinning control technique, the drive-response concept and Lyapunov functional method, two sufficient conditions are obtained in the form of algebraic inequalities, which can be used for ensuring the exponential synchronization of the proposed delayed MNNs with reaction-diffusion terms. Moreover, the obtained results based on algebraic inequality complement and improve the previously known results. Finally, two illustrative examples are given to support the effectiveness and validity of the obtained theoretical results.
dc.format	Print-Electronic
dc.language	eng
dc.publisher	Elsevier BV
dc.relation.ispartof	Neural networks : the official journal of the International Neural Network Society
dc.relation.isbasedon	10.1016/j.neunet.2019.11.008
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject.classification	Artificial Intelligence & Image Processing
dc.subject.mesh	Diffusion
dc.subject.mesh	Time Factors
dc.subject.mesh	Neural Networks, Computer
dc.subject.mesh	Diffusion
dc.subject.mesh	Neural Networks, Computer
dc.subject.mesh	Time Factors
dc.title	Global exponential synchronization of delayed memristive neural networks with reaction-diffusion terms.
dc.type	Journal Article
utslib.citation.volume	123
utslib.location.activity	United States
utslib.for	0801 Artificial Intelligence and Image Processing
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Strength - AAII - Australian Artificial Intelligence Institute
pubs.organisational-group	/University of Technology Sydney
utslib.copyright.status	closed_access	*
dc.date.updated	2021-01-11T05:16:38Z
pubs.publication-status	Published
pubs.volume	123

Abstract:

This paper investigates the global exponential synchronization problem of delayed memristive neural networks (MNNs) with reaction-diffusion terms. First, by utilizing the pinning control technique, two novel kinds of control methods are introduced to achieve synchronization of delayed MNNs with reaction-diffusion terms. Then, with the help of inequality techniques, pinning control technique, the drive-response concept and Lyapunov functional method, two sufficient conditions are obtained in the form of algebraic inequalities, which can be used for ensuring the exponential synchronization of the proposed delayed MNNs with reaction-diffusion terms. Moreover, the obtained results based on algebraic inequality complement and improve the previously known results. Finally, two illustrative examples are given to support the effectiveness and validity of the obtained theoretical results.

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http://hdl.handle.net/10453/145294