Robust Stability of Cellular Neural Networks With Delay: Linear Matrix Inequality Approach
| dc.authorscopusid | 7404651584 | |
| dc.contributor.author | Singh, V | |
| dc.contributor.other | Department of Mechatronics Engineering | |
| dc.date.accessioned | 2024-07-05T15:08:36Z | |
| dc.date.available | 2024-07-05T15:08:36Z | |
| dc.date.issued | 2004 | |
| 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 criterion for the global asymptotic stability and uniqueness of the equilibrium point of uncertain cellular neural networks with delay is presented. The uncertainties are assumed to be norm-bounded. The criterion is computationally efficient, since it is in the form of a linear matrix inequality. | en_US |
| dc.identifier.citationcount | 191 | |
| dc.identifier.doi | 10.1049/ip-cta:20040091 | |
| dc.identifier.endpage | 129 | en_US |
| dc.identifier.issn | 1350-2379 | |
| dc.identifier.issue | 1 | en_US |
| dc.identifier.scopus | 2-s2.0-1542790694 | |
| dc.identifier.startpage | 125 | en_US |
| dc.identifier.uri | https://doi.org/10.1049/ip-cta:20040091 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.14411/1060 | |
| dc.identifier.volume | 151 | en_US |
| dc.identifier.wos | WOS:000189305100018 | |
| dc.institutionauthor | Sıngh, Vımal | |
| dc.language.iso | en | en_US |
| dc.publisher | Iee-inst Elec Eng | 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 | 211 | |
| dc.subject | [No Keyword Available] | en_US |
| dc.title | Robust Stability of Cellular Neural Networks With Delay: Linear Matrix Inequality Approach | en_US |
| dc.type | Article | en_US |
| dc.wos.citedbyCount | 177 | |
| dspace.entity.type | Publication | |
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