A Generalized Lmi-Based Approach To the Global Asymptotic Stability of Delayed Cellular Neural Networks

dc.authorscopusid 7404651584
dc.contributor.author Singh, V
dc.contributor.other Department of Mechatronics Engineering
dc.date.accessioned 2024-07-05T15:08:36Z
dc.date.available 2024-07-05T15:08:36Z
dc.date.issued 2004
dc.department Atılım University en_US
dc.department-temp Atilim Univ, Dept Elect Elect Engn, TR-06836 Ankara, Turkey en_US
dc.description.abstract A 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.citationcount 196
dc.identifier.doi 10.1109/TNN.2003.820616
dc.identifier.endpage 225 en_US
dc.identifier.issn 1045-9227
dc.identifier.issue 1 en_US
dc.identifier.pmid 15387264
dc.identifier.scopus 2-s2.0-1242331018
dc.identifier.startpage 223 en_US
dc.identifier.uri https://doi.org/10.1109/TNN.2003.820616
dc.identifier.uri https://hdl.handle.net/20.500.14411/1062
dc.identifier.volume 15 en_US
dc.identifier.wos WOS:000188603900022
dc.institutionauthor Sıngh, Vımal
dc.language.iso en en_US
dc.publisher Ieee-inst Electrical Electronics Engineers inc en_US
dc.relation.publicationcategory Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı en_US
dc.rights info:eu-repo/semantics/closedAccess en_US
dc.scopus.citedbyCount 210
dc.subject delayed cellular neural networks (DCNNs) en_US
dc.subject equilibrium analysis en_US
dc.subject global stability en_US
dc.title A Generalized Lmi-Based Approach To the Global Asymptotic Stability of Delayed Cellular Neural Networks en_US
dc.type Article en_US
dc.wos.citedbyCount 193
dspace.entity.type Publication
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