A generalized LMI-Based approach to the global asymptotic stability of delayed cellular neural networks

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dc.authorscopusid7404651584
dc.contributor.authorSıngh, Vımal
dc.contributor.otherDepartment of Mechatronics Engineering
dc.date.accessioned2024-07-05T15:08:36Z
dc.date.available2024-07-05T15:08:36Z
dc.date.issued2004
dc.departmentAtılım Universityen_US
dc.department-tempAtilim Univ, Dept Elect Elect Engn, TR-06836 Ankara, Turkeyen_US
dc.description.abstractA novel linear matrix inequality (LMI)-based criterion for the global asymptotic stability and uniqueness of the equilibrium point of a class of delayed cellular neural networks (CNNs) is presented. The criterion turns out to be a generalization and improvement over some previous criteria.en_US
dc.identifier.citation196
dc.identifier.doi10.1109/TNN.2003.820616
dc.identifier.endpage225en_US
dc.identifier.issn1045-9227
dc.identifier.issue1en_US
dc.identifier.pmid15387264
dc.identifier.scopus2-s2.0-1242331018
dc.identifier.startpage223en_US
dc.identifier.urihttps://doi.org/10.1109/TNN.2003.820616
dc.identifier.urihttps://hdl.handle.net/20.500.14411/1062
dc.identifier.volume15en_US
dc.identifier.wosWOS:000188603900022
dc.institutionauthorSingh, V
dc.language.isoenen_US
dc.publisherIeee-inst Electrical Electronics Engineers incen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectdelayed cellular neural networks (DCNNs)en_US
dc.subjectequilibrium analysisen_US
dc.subjectglobal stabilityen_US
dc.titleA generalized LMI-Based approach to the global asymptotic stability of delayed cellular neural networksen_US
dc.typeArticleen_US
dspace.entity.typePublication
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