Global Asymptotic Stability of Cellular Neural Networks With Unequal Delays Lmi Approach

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dc.authorscopusid7404651584
dc.contributor.authorSingh, V
dc.contributor.authorSıngh, Vımal
dc.contributor.otherDepartment of Mechatronics Engineering
dc.date.accessioned2024-07-05T15:08:44Z
dc.date.available2024-07-05T15:08:44Z
dc.date.issued2004
dc.departmentAtılım Universityen_US
dc.department-tempAtilim Univ, Dept Elect Elect Engn, TR-06836 Ankara, Turkeyen_US
dc.description.abstractA criterion for the global asymptotic stability and uniqueness of the equilibrium point of cellular neural networks with unequal delays is presented. The criterion is computationally efficient, since it is in the form of linear matrix inequality (LMI).en_US
dc.identifier.citation26
dc.identifier.doi10.1049/el:20040392
dc.identifier.endpage549en_US
dc.identifier.issn0013-5194
dc.identifier.issue9en_US
dc.identifier.scopus2-s2.0-2542464272
dc.identifier.startpage548en_US
dc.identifier.urihttps://doi.org/10.1049/el:20040392
dc.identifier.urihttps://hdl.handle.net/20.500.14411/1095
dc.identifier.volume40en_US
dc.identifier.wosWOS:000221476700020
dc.identifier.wosqualityQ4
dc.language.isoenen_US
dc.publisherIee-inst Elec Engen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subject[No Keyword Available]en_US
dc.titleGlobal Asymptotic Stability of Cellular Neural Networks With Unequal Delays Lmi Approachen_US
dc.typeArticleen_US
dspace.entity.typePublication
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relation.isAuthorOfPublication.latestForDiscoverye3234b4c-8993-4550-93fe-38796ff7c7e1
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