New Lmi-Based Criteria for Global Robust Stability of Delayed Neural Networks
| dc.authorscopusid | 7404651584 | |
| dc.contributor.author | Singh, Vimal | |
| dc.contributor.other | Department of Mechatronics Engineering | |
| dc.date.accessioned | 2024-07-05T15:16:14Z | |
| dc.date.available | 2024-07-05T15:16:14Z | |
| dc.date.issued | 2010 | |
| dc.department | Atılım University | en_US |
| dc.department-temp | Atilim Univ, Dept Elect Elect Engn, TR-06836 Ankara, Turkey | en_US |
| dc.description.abstract | Some novel, linear matrix inequality based, criteria for the uniqueness and global robust stability of the equilibrium point of Hopfield-type neural networks with delay are presented. A comparison of the present criteria with the previous criteria is made. (C) 2010 Elsevier Inc. All rights reserved. | en_US |
| dc.identifier.citationcount | 11 | |
| dc.identifier.doi | 10.1016/j.apm.2010.01.005 | |
| dc.identifier.endpage | 2965 | en_US |
| dc.identifier.issn | 0307-904X | |
| dc.identifier.issn | 1872-8480 | |
| dc.identifier.issue | 10 | en_US |
| dc.identifier.scopus | 2-s2.0-77952884717 | |
| dc.identifier.scopusquality | Q1 | |
| dc.identifier.startpage | 2958 | en_US |
| dc.identifier.uri | https://doi.org/10.1016/j.apm.2010.01.005 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.14411/1616 | |
| dc.identifier.volume | 34 | en_US |
| dc.identifier.wos | WOS:000278690300024 | |
| 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 | 16 | |
| 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 | Lyapunov methods | en_US |
| dc.subject | Neural networks | en_US |
| dc.title | New Lmi-Based Criteria for Global Robust Stability of Delayed Neural Networks | en_US |
| dc.type | Article | en_US |
| dc.wos.citedbyCount | 11 | |
| dspace.entity.type | Publication | |
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