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

dc.contributor.author Singh, V
dc.contributor.other Department of Mechatronics Engineering
dc.contributor.other 01. Atılım University
dc.date.accessioned 2024-07-05T15:08:44Z
dc.date.available 2024-07-05T15:08:44Z
dc.date.issued 2004
dc.description.abstract A 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.doi 10.1049/el:20040392
dc.identifier.issn 0013-5194
dc.identifier.issn 1350-911X
dc.identifier.scopus 2-s2.0-2542464272
dc.identifier.uri https://doi.org/10.1049/el:20040392
dc.identifier.uri https://hdl.handle.net/20.500.14411/1095
dc.language.iso en en_US
dc.publisher Iee-inst Elec Eng en_US
dc.relation.ispartof Electronics Letters
dc.rights info:eu-repo/semantics/closedAccess en_US
dc.subject [No Keyword Available] en_US
dc.title Global Asymptotic Stability of Cellular Neural Networks With Unequal Delays Lmi Approach en_US
dc.type Article en_US
dspace.entity.type Publication
gdc.author.institutional Sıngh, Vımal
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gdc.description.department Atılım University en_US
gdc.description.departmenttemp Atilim Univ, Dept Elect Elect Engn, TR-06836 Ankara, Turkey en_US
gdc.description.endpage 549 en_US
gdc.description.issue 9 en_US
gdc.description.publicationcategory Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı en_US
gdc.description.startpage 548 en_US
gdc.description.volume 40 en_US
gdc.description.wosquality Q4
gdc.identifier.openalex W2060195842
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gdc.oaire.sciencefields 0202 electrical engineering, electronic engineering, information engineering
gdc.oaire.sciencefields 02 engineering and technology
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gdc.opencitations.count 24
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