| dc.contributor.author | Tavsanoglu, V | |
| dc.contributor.author | Arik, S | |
| dc.date.accessioned | 2021-03-06T10:50:18Z | |
| dc.date.available | 2021-03-06T10:50:18Z | |
| dc.date.issued | 2000 | |
| dc.identifier.citation | Arik S., Tavsanoglu V., "A sufficient condition for absolute stability of a larger class of dynamical neural networks", IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-FUNDAMENTAL THEORY AND APPLICATIONS, cilt.47, ss.758-760, 2000 | |
| dc.identifier.issn | 1057-7122 | |
| dc.identifier.other | av_ec45e733-1f9b-473d-ae4d-94115df432a4 | |
| dc.identifier.other | vv_1032021 | |
| dc.identifier.uri | http://hdl.handle.net/20.500.12627/155134 | |
| dc.identifier.uri | https://doi.org/10.1109/81.847881 | |
| dc.description.abstract | In this paper, we present a sufficient condition for absolute stability of a larger class of dynamical neural networks. It is shown that the H-matrix condition on the interconnection matrix ensures the existence, uniqueness and global asymptotic stability (GAS) of the equilibrium point with respect to slope-limited activation functions. | |
| 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 | A sufficient condition for absolute stability of a larger class of dynamical neural networks | |
| dc.type | Makale | |
| dc.relation.journal | IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS I-FUNDAMENTAL THEORY AND APPLICATIONS | |
| dc.contributor.department | , , | |
| dc.identifier.volume | 47 | |
| dc.identifier.issue | 5 | |
| dc.identifier.startpage | 758 | |
| dc.identifier.endpage | 760 | |
| dc.contributor.firstauthorID | 57497 | |
