Please use this identifier to cite or link to this item: http://cmuir.cmu.ac.th/jspui/handle/6653943832/66692
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dc.contributor.authorThongchai Botmarten_US
dc.contributor.authorNarongsak Yothaen_US
dc.contributor.authorPiyapong Niamsupen_US
dc.contributor.authorWajaree Weeraen_US
dc.contributor.authorPrem Junsawangen_US
dc.date.accessioned2019-09-16T12:55:07Z-
dc.date.available2019-09-16T12:55:07Z-
dc.date.issued2019-12-01en_US
dc.identifier.issn16871847en_US
dc.identifier.issn16871839en_US
dc.identifier.other2-s2.0-85071757127en_US
dc.identifier.other10.1186/s13662-019-2286-yen_US
dc.identifier.urihttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=85071757127&origin=inwarden_US
dc.identifier.urihttp://cmuir.cmu.ac.th/jspui/handle/6653943832/66692-
dc.description.abstract© 2019, The Author(s). This paper presents the problem of mixed H∞/passive exponential function projective synchronization of delayed neural networks with constant discrete and distributed delay couplings under pinning sampled-data control scheme. The aim of this work is to focus on designing of pinning sampled-data controller with an explicit expression by which the stable synchronization error system is achieved and a mixed H∞/passive performance level is also reached. Particularly, the control method is designed to determine a set of pinned nodes with fixed coupling matrices and strength values, and to select randomly pinning nodes. To handle the Lyapunov functional, we apply some new techniques and then derive some sufficient conditions for the desired controller existence. Furthermore, numerical examples are given to illustrate the effectiveness of the proposed theoretical results.en_US
dc.subjectMathematicsen_US
dc.titleMixed H<inf>∞</inf>/ passive exponential function projective synchronization of delayed neural networks with hybrid coupling based on pinning sampled-data controlen_US
dc.typeJournalen_US
article.title.sourcetitleAdvances in Difference Equationsen_US
article.volume2019en_US
article.stream.affiliationsUniversity of Phayaoen_US
article.stream.affiliationsRajamangala University of Technology Isanen_US
article.stream.affiliationsKhon Kaen Universityen_US
article.stream.affiliationsChiang Mai Universityen_US
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