Lag Synchronization of Memristor-Based Coupled Neural Networks via \omega -Measure
This paper deals with the lag synchronization problem of memristor-based coupled neural networks with or without parameter mismatch using two different algorithms. Firstly, we consider the memristor-based neural networks with parameter mismatch, lag complete synchronization cannot be achieved due to...
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| Veröffentlicht in: | IEEE transaction on neural networks and learning systems 2016-03, Vol.27 (3), p.686-697 |
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| creator | Li, Ning Cao, Jinde |
| description | This paper deals with the lag synchronization problem of memristor-based coupled neural networks with or without parameter mismatch using two different algorithms. Firstly, we consider the memristor-based neural networks with parameter mismatch, lag complete synchronization cannot be achieved due to parameter mismatch, the concept of lag quasi-synchronization is introduced. Based on the ω -measure method and generalized Halanay inequality, the error level is estimated, a new lag quasi-synchronization scheme is proposed to ensure that coupled memristor-based neural networks are in a state of lag synchronization with an error level. Secondly, by constructing Lyapunov functional and applying common Halanary inequality, several lag complete synchronization criteria for the memristor-based neural networks with parameter match are given, which are easy to verify. Finally, two examples are given to illustrate the effectiveness of the proposed lag quasi-synchronization or lag complete synchronization criteria, which well support theoretical results. |
| doi_str_mv | 10.1109/TNNLS.2015.2480784 |
| format | Article |
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Finally, two examples are given to illustrate the effectiveness of the proposed lag quasi-synchronization or lag complete synchronization criteria, which well support theoretical results.</description><subject>Criteria</subject><subject>Delays</subject><subject>Errors</subject><subject>Feedback control</subject><subject>Inequalities</subject><subject>Joining</subject><subject>lag synchronization</subject><subject>Learning</subject><subject>Learning systems</subject><subject>Mathematics</subject><subject>memristor-based coupled neural networks</subject><subject>Memristors</subject><subject>Neural networks</subject><subject>parameters mismatch</subject><subject>Switches</subject><subject>Synchronism</subject><subject>Synchronization</subject><subject>transmittal delay</subject><issn>2162-237X</issn><issn>2162-2388</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNqNkEtLw0AQgBdRrNT-AQXJ0Uvq7mazszlq8QVpBVvBgxAmybZGk27dTZT6611o7VXn8g3Mx7wIOWF0yBhNLmaTSTodcsriIReKghJ75IgzyUMeKbW_y-G5RwbOvVEfksZSJIekx6WQnAt5RB5TXATT9bJ4tWZZfWNbmWVg5sFYN7ZyrbHhFTpdBiPTrWrPie4s1h7tl7HvLvisMHgxjV5gEI41us7qY3Iwx9rpwZZ98nRzPRvdhenD7f3oMg0rnkAbCigAEKHQQsa5UiUVGKFfMc7LgqocUAGVWFAApSRwKHPNIQfFozkKqqI-Od_0XVnz0WnXZk3lCl3XuNSmcxlTTFIpKMT_UKnyEyLF_lZBAoWEicirZ1u1yxtdZitbNWjX2e93vXC6ESqt9a4MPBHSX_ED1xiEkg</recordid><startdate>201603</startdate><enddate>201603</enddate><creator>Li, Ning</creator><creator>Cao, Jinde</creator><general>IEEE</general><scope>97E</scope><scope>RIA</scope><scope>RIE</scope><scope>NPM</scope><scope>7X8</scope><scope>7QO</scope><scope>8FD</scope><scope>FR3</scope><scope>P64</scope><scope>7SC</scope><scope>7SP</scope><scope>F28</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope></search><sort><creationdate>201603</creationdate><title>Lag Synchronization of Memristor-Based Coupled Neural Networks via \omega -Measure</title><author>Li, Ning ; Cao, Jinde</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-i297t-47c77aa7ce465b88d04a3a6055bdc08b7a8706ac077886727dbe27b7823fa4083</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2016</creationdate><topic>Criteria</topic><topic>Delays</topic><topic>Errors</topic><topic>Feedback control</topic><topic>Inequalities</topic><topic>Joining</topic><topic>lag synchronization</topic><topic>Learning</topic><topic>Learning systems</topic><topic>Mathematics</topic><topic>memristor-based coupled neural networks</topic><topic>Memristors</topic><topic>Neural networks</topic><topic>parameters mismatch</topic><topic>Switches</topic><topic>Synchronism</topic><topic>Synchronization</topic><topic>transmittal delay</topic><toplevel>online_resources</toplevel><creatorcontrib>Li, Ning</creatorcontrib><creatorcontrib>Cao, Jinde</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>MEDLINE - Academic</collection><collection>Biotechnology Research Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Computer and Information Systems Abstracts</collection><collection>Electronics & Communications Abstracts</collection><collection>ANTE: Abstracts in New Technology & Engineering</collection><collection>ProQuest Computer Science Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><jtitle>IEEE transaction on neural networks and learning systems</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Li, Ning</au><au>Cao, Jinde</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Lag Synchronization of Memristor-Based Coupled Neural Networks via \omega -Measure</atitle><jtitle>IEEE transaction on neural networks and learning systems</jtitle><stitle>TNNLS</stitle><addtitle>IEEE Trans Neural Netw Learn Syst</addtitle><date>2016-03</date><risdate>2016</risdate><volume>27</volume><issue>3</issue><spage>686</spage><epage>697</epage><pages>686-697</pages><issn>2162-237X</issn><eissn>2162-2388</eissn><coden>ITNNAL</coden><abstract>This paper deals with the lag synchronization problem of memristor-based coupled neural networks with or without parameter mismatch using two different algorithms. 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| subjects | Criteria Delays Errors Feedback control Inequalities Joining lag synchronization Learning Learning systems Mathematics memristor-based coupled neural networks Memristors Neural networks parameters mismatch Switches Synchronism Synchronization transmittal delay |
| title | Lag Synchronization of Memristor-Based Coupled Neural Networks via \omega -Measure |
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