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dc.contributor.authorARIK, SABRİ
dc.contributor.authorGhaffar, H. I. Abdul
dc.contributor.authorDiab, Ahmed A. Zaki
dc.contributor.authorGunasekaran, Nallappan
dc.contributor.authorAli, M. Syed
dc.date.accessioned2022-07-04T14:52:59Z
dc.date.available2022-07-04T14:52:59Z
dc.identifier.citationGunasekaran N., Ali M. S. , ARIK S., Ghaffar H. I. A. , Diab A. A. Z. , "Finite-time and sampled-data synchronization of complex dynamical networks subject to average dwell-time switching signal", NEURAL NETWORKS, cilt.149, ss.137-145, 2022
dc.identifier.issn0893-6080
dc.identifier.othervv_1032021
dc.identifier.otherav_930a48a0-c139-4574-8844-ae3ce1677242
dc.identifier.urihttp://hdl.handle.net/20.500.12627/183775
dc.identifier.urihttps://doi.org/10.1016/j.neunet.2022.02.013
dc.description.abstractThis study deals with the finite-time synchronization problem of a class of switched complex dynamical networks (CDNs) with distributed coupling delays via sampled-data control. First, the dynamical model is studied with coupling delays in more detail. The sampling system is then converted to a continuous time-delay system using an input delay technique. We obtain some unique and less conservative criteria on exponential stability using the Lyapunov-Krasovskii functional (LKF), which is generated with a Kronecker product, linear matrix inequalities (LMIs), and integral inequality. Furthermore, some sufficient criteria are derived by an average dwell-time method and determine the finite-time boundedness of CDNs with switching signal. The proposed sufficient conditions can be represented in the form of LMIs. Finally, numerical examples are given to show that the suggested strategy is feasible. (c) 2022 Elsevier Ltd. All rights reserved.
dc.language.isoeng
dc.subjectSensory Systems
dc.subjectArtificial Intelligence
dc.subjectGeneral Computer Science
dc.subjectHuman-Computer Interaction
dc.subjectComputer Science (miscellaneous)
dc.subjectComputer Science Applications
dc.subjectPhysical Sciences
dc.subjectLife Sciences
dc.subjectComputer Vision and Pattern Recognition
dc.subjectBİLGİSAYAR BİLİMİ, YAPAY ZEKA
dc.subjectBilgisayar Bilimi
dc.subjectMühendislik, Bilişim ve Teknoloji (ENG)
dc.subjectNEUROSCIENCES
dc.subjectSinirbilim ve Davranış
dc.subjectYaşam Bilimleri (LIFE)
dc.subjectBilgisayar Bilimleri
dc.subjectAlgoritmalar
dc.subjectYaşam Bilimleri
dc.subjectTemel Bilimler
dc.subjectMühendislik ve Teknoloji
dc.subjectDevelopmental Neuroscience
dc.subjectCellular and Molecular Neuroscience
dc.subjectCognitive Neuroscience
dc.subjectGeneral Neuroscience
dc.subjectNeuroscience (miscellaneous)
dc.titleFinite-time and sampled-data synchronization of complex dynamical networks subject to average dwell-time switching signal
dc.typeMakale
dc.relation.journalNEURAL NETWORKS
dc.contributor.departmentToyota Technol Inst , ,
dc.identifier.volume149
dc.identifier.startpage137
dc.identifier.endpage145
dc.contributor.firstauthorID3423760


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