Global Asymptotic Stability of Cellular Neural Networks With Unequal Delays Lmi Approach
| dc.authorscopusid | 7404651584 | |
| dc.contributor.author | Singh, V | |
| dc.contributor.other | Department of Mechatronics Engineering | |
| dc.date.accessioned | 2024-07-05T15:08:44Z | |
| dc.date.available | 2024-07-05T15:08:44Z | |
| 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 cellular neural networks with unequal delays is presented. The criterion is computationally efficient, since it is in the form of linear matrix inequality (LMI). | en_US |
| dc.identifier.citationcount | 26 | |
| dc.identifier.doi | 10.1049/el:20040392 | |
| dc.identifier.endpage | 549 | en_US |
| dc.identifier.issn | 0013-5194 | |
| dc.identifier.issue | 9 | en_US |
| dc.identifier.scopus | 2-s2.0-2542464272 | |
| dc.identifier.startpage | 548 | en_US |
| dc.identifier.uri | https://doi.org/10.1049/el:20040392 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.14411/1095 | |
| dc.identifier.volume | 40 | en_US |
| dc.identifier.wos | WOS:000221476700020 | |
| dc.identifier.wosquality | Q4 | |
| 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 | 27 | |
| dc.subject | [No Keyword Available] | en_US |
| dc.title | Global Asymptotic Stability of Cellular Neural Networks With Unequal Delays Lmi Approach | en_US |
| dc.type | Article | en_US |
| dc.wos.citedbyCount | 24 | |
| dspace.entity.type | Publication | |
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