New Lmi-Based Criteria for Global Robust Stability of Delayed Neural Networks
| dc.contributor.author | Singh, Vimal | |
| dc.date.accessioned | 2024-07-05T15:16:14Z | |
| dc.date.available | 2024-07-05T15:16:14Z | |
| dc.date.issued | 2010 | |
| 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.doi | 10.1016/j.apm.2010.01.005 | |
| dc.identifier.issn | 0307-904X | |
| dc.identifier.issn | 1872-8480 | |
| dc.identifier.scopus | 2-s2.0-77952884717 | |
| 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.language.iso | en | en_US |
| dc.publisher | Elsevier Science inc | en_US |
| dc.relation.ispartof | Applied Mathematical Modelling | |
| 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 | 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 |
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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 | 2965 | en_US |
| gdc.description.issue | 10 | en_US |
| gdc.description.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | en_US |
| gdc.description.scopusquality | Q1 | |
| gdc.description.startpage | 2958 | en_US |
| gdc.description.volume | 34 | en_US |
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| gdc.oaire.keywords | Modelling and Simulation | |
| gdc.oaire.keywords | Applied Mathematics | |
| gdc.oaire.keywords | equilibrium analysis | |
| gdc.oaire.keywords | Stability theory of functional-differential equations | |
| gdc.oaire.keywords | Hopfield neural networks | |
| gdc.oaire.keywords | dynamical interval neural networks | |
| gdc.oaire.keywords | Robust stability | |
| gdc.oaire.keywords | Neural networks for/in biological studies, artificial life and related topics | |
| gdc.oaire.keywords | neural networks | |
| gdc.oaire.keywords | global robust stability | |
| gdc.oaire.keywords | Lyapunov methods | |
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| gdc.virtual.author | Sıngh, Vımal | |
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