Modified Criteria for Global Robust Stability of Interval Delayed Neural Networks

dc.contributor.author Singh, Vimal
dc.contributor.other Department of Mechatronics Engineering
dc.date.accessioned 2024-07-05T15:11:58Z
dc.date.available 2024-07-05T15:11:58Z
dc.date.issued 2009
dc.description.abstract Two simple criteria for global robust stability of Hopfield-type interval neural networks with delay are presented. The criteria turn out to be modified versions of an earlier criterion due to Cao, Huang, and Qu. Examples show the effectiveness of the modified criteria. Numerical simulations are carried out to confirm the applicability of the modified criteria. (C) 2009 Elsevier Inc. All rights reserved. en_US
dc.identifier.doi 10.1016/j.amc.2009.10.006
dc.identifier.issn 0096-3003
dc.identifier.issn 1873-5649
dc.identifier.scopus 2-s2.0-70449525124
dc.identifier.uri https://doi.org/10.1016/j.amc.2009.10.006
dc.identifier.uri https://hdl.handle.net/20.500.14411/1521
dc.language.iso en en_US
dc.publisher Elsevier Science inc en_US
dc.rights info:eu-repo/semantics/closedAccess en_US
dc.subject Dynamical interval neural networks en_US
dc.subject Equilibrium analysis en_US
dc.subject Global robust stability en_US
dc.subject Hopfield neural networks en_US
dc.subject Neural networks en_US
dc.subject Nonlinear systems en_US
dc.subject Time-delay systems en_US
dc.title Modified Criteria for Global Robust Stability of Interval Delayed Neural Networks en_US
dc.type Article en_US
dspace.entity.type Publication
gdc.author.institutional Sıngh, Vımal
gdc.author.scopusid 7404651584
gdc.coar.access metadata only access
gdc.coar.type text::journal::journal article
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 3133 en_US
gdc.description.issue 8 en_US
gdc.description.publicationcategory Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı en_US
gdc.description.startpage 3124 en_US
gdc.description.volume 215 en_US
gdc.description.wosquality Q1
gdc.identifier.wos WOS:000271936400037
gdc.scopus.citedcount 11
gdc.wos.citedcount 11
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