Improved Global Robust Stability Criterion for Interval Delayed Neural Networks

dc.contributor.author Singh, V.
dc.date.accessioned 2024-07-05T15:11:59Z
dc.date.available 2024-07-05T15:11:59Z
dc.date.issued 2009
dc.description.abstract A 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.doi 10.1049/iet-cta.2008.0569
dc.identifier.issn 1751-8644
dc.identifier.issn 1751-8652
dc.identifier.scopus 2-s2.0-72149108722
dc.identifier.uri https://doi.org/10.1049/iet-cta.2008.0569
dc.identifier.uri https://hdl.handle.net/20.500.14411/1523
dc.language.iso en en_US
dc.publisher inst Engineering Technology-iet en_US
dc.relation.ispartof IET Control Theory & Applications
dc.rights info:eu-repo/semantics/closedAccess en_US
dc.subject [No Keyword Available] en_US
dc.title Improved Global Robust Stability Criterion for Interval Delayed Neural Networks en_US
dc.type Article en_US
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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 1653 en_US
gdc.description.issue 12 en_US
gdc.description.publicationcategory Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı en_US
gdc.description.scopusquality Q3
gdc.description.startpage 1648 en_US
gdc.description.volume 3 en_US
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gdc.virtual.author Sıngh, Vımal
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