Novel Lmi Condition for Global Robust Stability of Delayed Neural Networks
| dc.contributor.author | Singh, Vimal | |
| dc.date.accessioned | 2024-07-05T14:33:05Z | |
| dc.date.available | 2024-07-05T14:33:05Z | |
| dc.date.issued | 2007 | |
| dc.description.abstract | A novel criterion for the uniqueness and global robust stability of the equilibrium point of Hopfield-type neural networks with delay is presented. The criterion takes the form of a linear matrix inequality and hence is computationally attractive. An example showing the effectiveness of the present approach is given. (C) 2006 Elsevier Ltd. All rights reserved. | en_US |
| dc.identifier.doi | 10.1016/j.chaos.2006.03.034 | |
| dc.identifier.issn | 0960-0779 | |
| dc.identifier.scopus | 2-s2.0-34147154743 | |
| dc.identifier.uri | https://doi.org/10.1016/j.chaos.2006.03.034 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.14411/878 | |
| dc.language.iso | en | en_US |
| dc.publisher | Pergamon-elsevier Science Ltd | en_US |
| dc.relation.ispartof | Chaos, Solitons & Fractals | |
| dc.rights | info:eu-repo/semantics/closedAccess | en_US |
| dc.subject | [No Keyword Available] | en_US |
| dc.title | Novel Lmi Condition for Global Robust Stability of Delayed Neural Networks | en_US |
| dc.type | Article | en_US |
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| gdc.author.institutional | Singh, Vimal (7404651584) | |
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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 | 508 | en_US |
| gdc.description.issue | 2 | en_US |
| gdc.description.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | en_US |
| gdc.description.startpage | 503 | en_US |
| gdc.description.volume | 34 | en_US |
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| gdc.oaire.keywords | Hopfield-typer neural networks | |
| gdc.oaire.keywords | Control/observation systems governed by functional-differential equations | |
| gdc.oaire.keywords | uniqueness and robust stability of equilibrium | |
| gdc.oaire.keywords | Robust stability | |
| gdc.oaire.keywords | Neural networks for/in biological studies, artificial life and related topics | |
| gdc.oaire.keywords | Control/observation systems governed by ordinary differential equations | |
| gdc.oaire.keywords | linear matrix inequality | |
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| gdc.virtual.author | Sıngh, Vımal | |
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