New Global Robust Stability Results for Delayed Cellular Neural Networks Based on Norm-Bounded Uncertainties

dc.authorscopusid 7404651584
dc.contributor.author Singh, Vimal
dc.contributor.other Department of Mechatronics Engineering
dc.date.accessioned 2024-07-05T14:33:33Z
dc.date.available 2024-07-05T14:33:33Z
dc.date.issued 2006
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 new linear matrix inequality based approach to the uniqueness and global asymptotic stability of the equilibrium point of uncertain cellular neural networks with delay is presented. The uncertainties are assumed to be norm-bounded. A new type of Lyapunov-Krasovskii functional is employed to derive the result. (c) 2005 Elsevier Ltd. All rights reserved. en_US
dc.identifier.citationcount 35
dc.identifier.doi 10.1016/j.chaos.2005.08.183
dc.identifier.endpage 1171 en_US
dc.identifier.issn 0960-0779
dc.identifier.issn 1873-2887
dc.identifier.issue 5 en_US
dc.identifier.scopus 2-s2.0-33745873486
dc.identifier.startpage 1165 en_US
dc.identifier.uri https://doi.org/10.1016/j.chaos.2005.08.183
dc.identifier.uri https://hdl.handle.net/20.500.14411/944
dc.identifier.volume 30 en_US
dc.identifier.wos WOS:000239675500012
dc.identifier.wosquality Q1
dc.institutionauthor Sıngh, Vımal
dc.language.iso en en_US
dc.publisher Pergamon-elsevier Science Ltd 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 34
dc.subject [No Keyword Available] en_US
dc.title New Global Robust Stability Results for Delayed Cellular Neural Networks Based on Norm-Bounded Uncertainties en_US
dc.type Article en_US
dc.wos.citedbyCount 35
dspace.entity.type Publication
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