Robust Stability of Cellular Neural Networks With Delay: Linear Matrix Inequality Approach
| dc.contributor.author | Singh, V | |
| dc.date.accessioned | 2024-07-05T15:08:36Z | |
| dc.date.available | 2024-07-05T15:08:36Z | |
| dc.date.issued | 2004 | |
| 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.doi | 10.1049/ip-cta:20040091 | |
| dc.identifier.issn | 1350-2379 | |
| dc.identifier.issn | 1359-7035 | |
| dc.identifier.scopus | 2-s2.0-1542790694 | |
| dc.identifier.uri | https://doi.org/10.1049/ip-cta:20040091 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.14411/1060 | |
| dc.language.iso | en | en_US |
| dc.publisher | Iee-inst Elec Eng | en_US |
| dc.relation.ispartof | IEE Proceedings - Control Theory and Applications | |
| dc.rights | info:eu-repo/semantics/closedAccess | en_US |
| 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 |
| dspace.entity.type | Publication | |
| gdc.author.institutional | Singh, V. (7404651584) | |
| gdc.author.scopusid | 7404651584 | |
| gdc.bip.impulseclass | C3 | |
| gdc.bip.influenceclass | C3 | |
| gdc.bip.popularityclass | C4 | |
| gdc.coar.access | metadata only access | |
| gdc.coar.type | text::journal::journal article | |
| gdc.collaboration.industrial | false | |
| 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 | 129 | en_US |
| gdc.description.issue | 1 | en_US |
| gdc.description.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | en_US |
| gdc.description.startpage | 125 | en_US |
| gdc.description.volume | 151 | en_US |
| gdc.description.woscitationindex | Science Citation Index Expanded | |
| gdc.identifier.openalex | W2035911222 | |
| gdc.identifier.wos | WOS:000189305100018 | |
| gdc.index.type | WoS | |
| gdc.index.type | Scopus | |
| gdc.oaire.accesstype | GOLD | |
| gdc.oaire.diamondjournal | false | |
| gdc.oaire.impulse | 52.0 | |
| gdc.oaire.influence | 2.1300133E-8 | |
| gdc.oaire.isgreen | false | |
| gdc.oaire.popularity | 1.1993383E-8 | |
| gdc.oaire.publicfunded | false | |
| gdc.oaire.sciencefields | 0209 industrial biotechnology | |
| gdc.oaire.sciencefields | 0202 electrical engineering, electronic engineering, information engineering | |
| gdc.oaire.sciencefields | 02 engineering and technology | |
| gdc.openalex.collaboration | National | |
| gdc.openalex.fwci | 16.69 | |
| gdc.openalex.normalizedpercentile | 0.99 | |
| gdc.openalex.toppercent | TOP 1% | |
| gdc.opencitations.count | 172 | |
| gdc.plumx.crossrefcites | 171 | |
| gdc.plumx.facebookshareslikecount | 47 | |
| gdc.plumx.mendeley | 2 | |
| gdc.plumx.scopuscites | 211 | |
| gdc.scopus.citedcount | 211 | |
| gdc.virtual.author | Sıngh, Vımal | |
| gdc.wos.citedcount | 177 | |
| relation.isAuthorOfPublication | e3234b4c-8993-4550-93fe-38796ff7c7e1 | |
| relation.isAuthorOfPublication.latestForDiscovery | e3234b4c-8993-4550-93fe-38796ff7c7e1 | |
| relation.isOrgUnitOfPublication | e2a6d0b1-378e-4532-82b1-d17cabc56744 | |
| relation.isOrgUnitOfPublication | 50be38c5-40c4-4d5f-b8e6-463e9514c6dd | |
| relation.isOrgUnitOfPublication.latestForDiscovery | e2a6d0b1-378e-4532-82b1-d17cabc56744 |