Improved Global Robust Stability Criterion for Delayed Neural Networks

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dc.authorscopusid7404651584
dc.contributor.authorSingh, Vimal
dc.contributor.otherDepartment of Mechatronics Engineering
dc.date.accessioned2024-07-05T14:33:24Z
dc.date.available2024-07-05T14:33:24Z
dc.date.issued2007
dc.departmentAtılım Universityen_US
dc.department-tempAtilim Univ, Dept Elect Elect Engn, TR-06836 Ankara, Turkeyen_US
dc.description.abstractA criterion for the uniqueness and global robust stability of the equilibrium point of interval Hopfield-type delayed neural networks is presented. The criterion is a marked improvement over a recent criterion due to Cao, Huang and Qu. (c) 2005 Elsevier Ltd. All rights reserved.en_US
dc.identifier.citationcount23
dc.identifier.doi10.1016/j.chaos.2005.09.050
dc.identifier.endpage229en_US
dc.identifier.issn0960-0779
dc.identifier.issn1873-2887
dc.identifier.issue1en_US
dc.identifier.scopus2-s2.0-33745816063
dc.identifier.startpage224en_US
dc.identifier.urihttps://doi.org/10.1016/j.chaos.2005.09.050
dc.identifier.urihttps://hdl.handle.net/20.500.14411/928
dc.identifier.volume31en_US
dc.identifier.wosWOS:000241014800028
dc.identifier.wosqualityQ1
dc.institutionauthorSıngh, Vımal
dc.language.isoenen_US
dc.publisherPergamon-elsevier Science Ltden_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.scopus.citedbyCount22
dc.subject[No Keyword Available]en_US
dc.titleImproved Global Robust Stability Criterion for Delayed Neural Networksen_US
dc.typeArticleen_US
dc.wos.citedbyCount23
dspace.entity.typePublication
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