A New Criterion 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 | 2024-07-05T14:34:13Z | |
| dc.date.available | 2024-07-05T14:34:13Z | |
| dc.date.issued | 2008 | |
| dc.department | Atılım University | en_US |
| dc.department-temp | Atilim Univ, Dept Elect Elect Engn, TR-06836 Ankara, Turkey | en_US |
| dc.description.abstract | A novel criterion for the global robust stability of Hopfield-type interval neural networks with delay is presented. An example showing the effectiveness of the present criterion is given. (C) 2007 Elsevier B.V. All rights reserved. | en_US |
| dc.identifier.citationcount | 16 | |
| dc.identifier.doi | 10.1016/j.cam.2007.10.059 | |
| dc.identifier.endpage | 225 | en_US |
| dc.identifier.issn | 0377-0427 | |
| dc.identifier.issn | 1879-1778 | |
| dc.identifier.issue | 1 | en_US |
| dc.identifier.scopus | 2-s2.0-51249083984 | |
| dc.identifier.startpage | 219 | en_US |
| dc.identifier.uri | https://doi.org/10.1016/j.cam.2007.10.059 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.14411/1034 | |
| dc.identifier.volume | 221 | en_US |
| dc.identifier.wos | WOS:000259945000019 | |
| dc.identifier.wosquality | Q1 | |
| dc.institutionauthor | Sıngh, Vımal | |
| dc.language.iso | en | en_US |
| dc.publisher | Elsevier Science Bv | en_US |
| dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | en_US |
| dc.rights | info:eu-repo/semantics/openAccess | en_US |
| dc.scopus.citedbyCount | 23 | |
| 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 | Stability | en_US |
| dc.subject | Time-delay systems | en_US |
| dc.title | A New Criterion for Global Robust Stability of Interval Delayed Neural Networks | en_US |
| dc.type | Article | en_US |
| dc.wos.citedbyCount | 16 | |
| dspace.entity.type | Publication | |
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