Modified Criteria for Global Robust Stability of Interval Delayed Neural Networks
dc.authorscopusid | 7404651584 | |
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.department | Atılım University | en_US |
dc.department-temp | Atilim Univ, Dept Elect Elect Engn, TR-06836 Ankara, Turkey | en_US |
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.citationcount | 11 | |
dc.identifier.doi | 10.1016/j.amc.2009.10.006 | |
dc.identifier.endpage | 3133 | en_US |
dc.identifier.issn | 0096-3003 | |
dc.identifier.issn | 1873-5649 | |
dc.identifier.issue | 8 | en_US |
dc.identifier.scopus | 2-s2.0-70449525124 | |
dc.identifier.startpage | 3124 | en_US |
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.identifier.volume | 215 | en_US |
dc.identifier.wos | WOS:000271936400037 | |
dc.identifier.wosquality | Q1 | |
dc.institutionauthor | Sıngh, Vımal | |
dc.language.iso | en | en_US |
dc.publisher | Elsevier Science inc | en_US |
dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | en_US |
dc.rights | info:eu-repo/semantics/closedAccess | en_US |
dc.scopus.citedbyCount | 11 | |
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 |
dc.wos.citedbyCount | 11 | |
dspace.entity.type | Publication | |
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