| dc.contributor.author | Arik, Sabri | |
| dc.contributor.author | ENSARI, Tolga | |
| dc.date.accessioned | 2021-03-05T08:23:24Z | |
| dc.date.available | 2021-03-05T08:23:24Z | |
| dc.date.issued | 2005 | |
| dc.identifier.citation | ENSARI T., Arik S., "Global stability of a class of neural networks with time-varying delay", IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS, cilt.52, ss.126-130, 2005 | |
| dc.identifier.issn | 1549-7747 | |
| dc.identifier.other | av_9896e92b-4162-413d-9562-3eda52b77afc | |
| dc.identifier.other | vv_1032021 | |
| dc.identifier.uri | http://hdl.handle.net/20.500.12627/102675 | |
| dc.identifier.uri | https://doi.org/10.1109/tcsii.2004.842050 | |
| dc.description.abstract | This paper presents a new sufficient condition for the uniqueness and global asymptotic stability of the equilibrium point for a class of neural networks with time-varying delays. The result is obtained by the use of a more general type of Lyapunov-Krasovskii functional, establishing a relation between the network parameters of the neural system and time-varying delay parameter. The result is also shown to be a generalization of a previously published result. | |
| dc.language.iso | eng | |
| dc.subject | Mühendislik, Bilişim ve Teknoloji (ENG) | |
| dc.subject | Sinyal İşleme | |
| dc.subject | MÜHENDİSLİK, ELEKTRİK VE ELEKTRONİK | |
| dc.subject | Mühendislik | |
| dc.subject | Bilgi Sistemleri, Haberleşme ve Kontrol Mühendisliği | |
| dc.subject | Mühendislik ve Teknoloji | |
| dc.title | Global stability of a class of neural networks with time-varying delay | |
| dc.type | Makale | |
| dc.relation.journal | IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS II-EXPRESS BRIEFS | |
| dc.contributor.department | İstanbul Üniversitesi , Mühendislik Fakültesi , Bilgisayar Mühendisliği | |
| dc.identifier.volume | 52 | |
| dc.identifier.issue | 3 | |
| dc.identifier.startpage | 126 | |
| dc.identifier.endpage | 130 | |
| dc.contributor.firstauthorID | 57549 | |
