| dc.contributor.author | Arik, Sabri | |
| dc.date.accessioned | 2021-03-04T08:11:48Z | |
| dc.date.available | 2021-03-04T08:11:48Z | |
| dc.date.issued | 2003 | |
| dc.identifier.citation | Arik S., "Global asymptotic stability of a larger class of neural networks with constant time delay", PHYSICS LETTERS A, cilt.311, sa.6, ss.504-511, 2003 | |
| dc.identifier.issn | 0375-9601 | |
| dc.identifier.other | vv_1032021 | |
| dc.identifier.other | av_62197d53-ad02-4fbd-9d53-84547b29691e | |
| dc.identifier.uri | http://hdl.handle.net/20.500.12627/68327 | |
| dc.identifier.uri | https://doi.org/10.1016/s0375-9601(03)00569-3 | |
| dc.description.abstract | This Letter presents some new sufficient conditions for the uniqueness and global asymptotic stability (GAS) of the equilibrium point for a larger class of neural networks with constant time delay. It is shown that the use of a more general type of Lyapunov-Krasovskii functional enables us to establish global asymptotic stability of a larger class of delayed neural networks than those considered in some previous papers. (C) 2003 Elsevier Science B.V. All rights reserved. | |
| dc.language.iso | eng | |
| dc.subject | Temel Bilimler | |
| dc.subject | Disiplinlerarası Fizik ve İlgili Bilim ve Teknoloji Alanları | |
| dc.subject | Temel Bilimler (SCI) | |
| dc.subject | Fizik | |
| dc.subject | FİZİK, MULTİDİSİPLİNER | |
| dc.title | Global asymptotic stability of a larger class of neural networks with constant time delay | |
| dc.type | Makale | |
| dc.relation.journal | PHYSICS LETTERS A | |
| dc.contributor.department | İstanbul Üniversitesi , Mühendislik Fakültesi , Elektrik-Elektronik Mühendisliği | |
| dc.identifier.volume | 311 | |
| dc.identifier.issue | 6 | |
| dc.identifier.startpage | 504 | |
| dc.identifier.endpage | 511 | |
| dc.contributor.firstauthorID | 57505 | |
