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Synchronization of Coupled Neural Networks With Constant Time-Delay Using Sampled-Data Information
In this article, a synchronization control method is studied for coupled neural networks (CNNs) with constant time delay using sampled-data information. A distributed control protocol relying on the sampled-data information of neighboring nodes is proposed. Lyapunov functional is constructed to anal...
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Published in: | IEEE transactions on cybernetics 2024-08, Vol.54 (8), p.4702-4711 |
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description | In this article, a synchronization control method is studied for coupled neural networks (CNNs) with constant time delay using sampled-data information. A distributed control protocol relying on the sampled-data information of neighboring nodes is proposed. Lyapunov functional is constructed to analyze the synchronization of CNNs with constant time delay. Using Park's integral inequality and improved free-weight matrix integral inequality, sufficient conditions are provided for CNNs to achieve synchronization with less conservatism. In addition, the maximum sampling interval is determined by transforming the sufficient conditions into an optimization problem, and an aperiodic sampling control technique is implemented to reduce the communication energy load. Finally, numerical simulations are provided to demonstrate that the proposed method is capable of achieving synchronization. |
doi_str_mv | 10.1109/TCYB.2023.3318987 |
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Finally, numerical simulations are provided to demonstrate that the proposed method is capable of achieving synchronization.</description><subject>Biological neural networks</subject><subject>Coupled neural networks (CNNs)</subject><subject>Delay effects</subject><subject>Delays</subject><subject>Eigenvalues and eigenfunctions</subject><subject>Linear matrix inequalities</subject><subject>Protocols</subject><subject>sampled-data information</subject><subject>Synchronization</subject><subject>time delay</subject><issn>2168-2267</issn><issn>2168-2275</issn><issn>2168-2275</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2024</creationdate><recordtype>article</recordtype><recordid>eNpNkMtOwzAQRS0EolXpByAhlCWbFL8SO0tIeVSqYNFWiFXkJBMaSOJiO0Ll60loqZjNjOxz7-IgdE7whBAcXS_j19sJxZRNGCMykuIIDSkJpU-pCI4PdygGaGztO-5Gdk-RPEUDJiTljNAhShfbJlsb3ZTfypW68XThxbrdVJB7T9AaVXXLfWnzYb2X0q27z8Y61ThvWdbgT6FSW29ly-bNW6i6j_lT5ZQ3awpt6t_KM3RSqMrCeL9HaHV_t4wf_fnzwyy-mfsZFdz5MoskyThwwcMgDIABE2EWCiA8y3kIOEhTmncASKpwEAWplJhGwBXGkDPMRuhq17sx-rMF65K6tBlUlWpAtzahUggmMSdhh5IdmhltrYEi2ZiyVmabEJz0dpPebtLbTfZ2u8zlvr5Na8gPiT-XHXCxA0oA-FdIJZMCsx94nX5B</recordid><startdate>20240801</startdate><enddate>20240801</enddate><creator>Liu, Xiang</creator><creator>Liao, Siqin</creator><creator>Wu, Zheng-Guang</creator><creator>Wu, Yuanqing</creator><general>IEEE</general><scope>97E</scope><scope>RIA</scope><scope>RIE</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7X8</scope><orcidid>https://orcid.org/0000-0001-9509-2670</orcidid><orcidid>https://orcid.org/0000-0002-4874-4071</orcidid><orcidid>https://orcid.org/0009-0008-5623-059X</orcidid><orcidid>https://orcid.org/0000-0002-7054-0008</orcidid></search><sort><creationdate>20240801</creationdate><title>Synchronization of Coupled Neural Networks With Constant Time-Delay Using Sampled-Data Information</title><author>Liu, Xiang ; Liao, Siqin ; Wu, Zheng-Guang ; Wu, Yuanqing</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c274t-8c981c4e4746565e3e376c67e14cd46e05bb2dc4ee82a0595b88029e4a00ed303</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2024</creationdate><topic>Biological neural networks</topic><topic>Coupled neural networks (CNNs)</topic><topic>Delay effects</topic><topic>Delays</topic><topic>Eigenvalues and eigenfunctions</topic><topic>Linear matrix inequalities</topic><topic>Protocols</topic><topic>sampled-data information</topic><topic>Synchronization</topic><topic>time delay</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Liu, Xiang</creatorcontrib><creatorcontrib>Liao, Siqin</creatorcontrib><creatorcontrib>Wu, Zheng-Guang</creatorcontrib><creatorcontrib>Wu, Yuanqing</creatorcontrib><collection>IEEE All-Society Periodicals Package (ASPP) 2005-present</collection><collection>IEEE All-Society Periodicals Package (ASPP) 1998-Present</collection><collection>IEEE Electronic Library (IEL)</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>MEDLINE - Academic</collection><jtitle>IEEE transactions on cybernetics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Liu, Xiang</au><au>Liao, Siqin</au><au>Wu, Zheng-Guang</au><au>Wu, Yuanqing</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Synchronization of Coupled Neural Networks With Constant Time-Delay Using Sampled-Data Information</atitle><jtitle>IEEE transactions on cybernetics</jtitle><stitle>TCYB</stitle><addtitle>IEEE Trans Cybern</addtitle><date>2024-08-01</date><risdate>2024</risdate><volume>54</volume><issue>8</issue><spage>4702</spage><epage>4711</epage><pages>4702-4711</pages><issn>2168-2267</issn><issn>2168-2275</issn><eissn>2168-2275</eissn><coden>ITCEB8</coden><abstract>In this article, a synchronization control method is studied for coupled neural networks (CNNs) with constant time delay using sampled-data information. 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source | IEEE Electronic Library (IEL) Journals |
subjects | Biological neural networks Coupled neural networks (CNNs) Delay effects Delays Eigenvalues and eigenfunctions Linear matrix inequalities Protocols sampled-data information Synchronization time delay |
title | Synchronization of Coupled Neural Networks With Constant Time-Delay Using Sampled-Data Information |
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