Global Robust Stability of Delayed Neural Networks: an Lmi Approach
| dc.contributor.author | Singh, V | |
| dc.contributor.other | Department of Mechatronics Engineering | |
| dc.contributor.other | 01. Atılım University | |
| dc.date.accessioned | 2024-07-05T15:09:41Z | |
| dc.date.available | 2024-07-05T15:09:41Z | |
| dc.date.issued | 2005 | |
| dc.description.abstract | New criteria for the uniqueness and global robust stability of the equilibrium point of the interval Hopfield-type delayed neural networks are presented. The criteria possess the structure of linear matrix inequality and, hence, are computationally efficient. | en_US |
| dc.identifier.doi | 10.1109/TCSII.2004.840118 | |
| dc.identifier.issn | 1057-7130 | |
| dc.identifier.scopus | 2-s2.0-12544252350 | |
| dc.identifier.uri | https://doi.org/10.1109/TCSII.2004.840118 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.14411/1223 | |
| dc.language.iso | en | en_US |
| dc.publisher | Ieee-inst Electrical Electronics Engineers inc | en_US |
| dc.relation.ispartof | IEEE Transactions on Circuits and Systems II: Express Briefs | |
| 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.title | Global Robust Stability of Delayed Neural Networks: an Lmi Approach | en_US |
| dc.type | Article | en_US |
| dspace.entity.type | Publication | |
| gdc.author.institutional | Sıngh, Vımal | |
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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 | 36 | en_US |
| gdc.description.issue | 1 | en_US |
| gdc.description.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | en_US |
| gdc.description.startpage | 33 | en_US |
| gdc.description.volume | 52 | en_US |
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