dc.contributor.author | Arik, Sabri | |
dc.date.accessioned | 2021-03-04T10:52:10Z | |
dc.date.available | 2021-03-04T10:52:10Z | |
dc.date.issued | 2003 | |
dc.identifier.citation | Arik S., "Global robust stability of delayed neural networks", IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS, cilt.50, sa.1, ss.156-160, 2003 | |
dc.identifier.issn | 1549-8328 | |
dc.identifier.other | vv_1032021 | |
dc.identifier.other | av_6f61fed7-1569-425b-9919-0c6c75829933 | |
dc.identifier.uri | http://hdl.handle.net/20.500.12627/76863 | |
dc.identifier.uri | https://doi.org/10.1109/tcsi.2002.807515 | |
dc.description.abstract | This brief presents a sufficient condition for the existence, uniqueness, and global robust stability of the equilibrium point for Hopfield-type delayed neural networks. The result imposes constraint conditions on the boundary values of the network parameters independently of the delay parameter. This result is compared with the previous results derived in the literature. | |
dc.language.iso | eng | |
dc.subject | Bilgi Sistemleri, Haberleşme ve Kontrol Mühendisliği | |
dc.subject | Mühendislik, Bilişim ve Teknoloji (ENG) | |
dc.subject | Mühendislik | |
dc.subject | Sinyal İşleme | |
dc.subject | Mühendislik ve Teknoloji | |
dc.subject | MÜHENDİSLİK, ELEKTRİK VE ELEKTRONİK | |
dc.title | Global robust stability of delayed neural networks | |
dc.type | Makale | |
dc.relation.journal | IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-REGULAR PAPERS | |
dc.contributor.department | İstanbul Üniversitesi , Mühendislik Fakültesi , Elektrik-Elektronik Mühendisliği | |
dc.identifier.volume | 50 | |
dc.identifier.issue | 1 | |
dc.identifier.startpage | 156 | |
dc.identifier.endpage | 160 | |
dc.contributor.firstauthorID | 57528 | |