Robust Stability of Cellular Neural Networks With Delay: Linear Matrix Inequality Approach

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dc.authorscopusid7404651584
dc.contributor.authorSingh, V
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 criterion for the global asymptotic stability and uniqueness of the equilibrium point of uncertain cellular neural networks with delay is presented. The uncertainties are assumed to be norm-bounded. The criterion is computationally efficient, since it is in the form of a linear matrix inequality.en_US
dc.identifier.citationcount191
dc.identifier.doi10.1049/ip-cta:20040091
dc.identifier.endpage129en_US
dc.identifier.issn1350-2379
dc.identifier.issue1en_US
dc.identifier.scopus2-s2.0-1542790694
dc.identifier.startpage125en_US
dc.identifier.urihttps://doi.org/10.1049/ip-cta:20040091
dc.identifier.urihttps://hdl.handle.net/20.500.14411/1060
dc.identifier.volume151en_US
dc.identifier.wosWOS:000189305100018
dc.institutionauthorSıngh, Vımal
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.scopus.citedbyCount211
dc.subject[No Keyword Available]en_US
dc.titleRobust Stability of Cellular Neural Networks With Delay: Linear Matrix Inequality Approachen_US
dc.typeArticleen_US
dc.wos.citedbyCount177
dspace.entity.typePublication
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