Improved Global Robust Stability Criterion for Interval Delayed Neural Networks

Simple item page
dc.authorscopusid7404651584
dc.contributor.authorSingh, V.
dc.contributor.otherDepartment of Mechatronics Engineering
dc.date.accessioned2024-07-05T15:11:59Z
dc.date.available2024-07-05T15:11:59Z
dc.date.issued2009
dc.departmentAtılım Universityen_US
dc.department-tempAtilim Univ, Dept Elect Elect Engn, TR-06836 Ankara, Turkeyen_US
dc.description.abstractA novel criterion for the global robust stability of Hopfield-type interval neural networks with delay is presented. Some existing criteria turn out to be special cases of the present criterion. An example shows the effectiveness of the present criterion.en_US
dc.identifier.citationcount4
dc.identifier.doi10.1049/iet-cta.2008.0569
dc.identifier.endpage1653en_US
dc.identifier.issn1751-8644
dc.identifier.issue12en_US
dc.identifier.scopus2-s2.0-72149108722
dc.identifier.scopusqualityQ2
dc.identifier.startpage1648en_US
dc.identifier.urihttps://doi.org/10.1049/iet-cta.2008.0569
dc.identifier.urihttps://hdl.handle.net/20.500.14411/1523
dc.identifier.volume3en_US
dc.identifier.wosWOS:000272596800010
dc.identifier.wosqualityQ2
dc.institutionauthorSıngh, Vımal
dc.language.isoenen_US
dc.publisherinst Engineering Technology-ieten_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.scopus.citedbyCount5
dc.subject[No Keyword Available]en_US
dc.titleImproved Global Robust Stability Criterion for Interval Delayed Neural Networksen_US
dc.typeArticleen_US
dc.wos.citedbyCount4
dspace.entity.typePublication
relation.isAuthorOfPublicatione3234b4c-8993-4550-93fe-38796ff7c7e1
relation.isAuthorOfPublication.latestForDiscoverye3234b4c-8993-4550-93fe-38796ff7c7e1
relation.isOrgUnitOfPublicatione2a6d0b1-378e-4532-82b1-d17cabc56744
relation.isOrgUnitOfPublication.latestForDiscoverye2a6d0b1-378e-4532-82b1-d17cabc56744

Files

Collections

WOS
Scopus