Robust stability analysis of a class of delayed neural networks

Basit Öğe Kaydı
dc.authorid0000-0002-4390-5139
dc.contributor.authorÖzcan, Neyiren_US
dc.contributor.authorArik, Sabrien_US
dc.date.accessioned2019-08-31T12:10:23Z
dc.date.accessioned2019-08-05T16:04:57Z
dc.date.available2019-08-31T12:10:23Z
dc.date.available2019-08-05T16:04:57Z
dc.date.issued2012
dc.departmentIşık Üniversitesi, Mühendislik Fakültesi, Elektrik-Elektronik Mühendisliği Bölümüen_US
dc.departmentIşık University, Faculty of Engineering, Department of Electrical-Electronics Engineeringen_US
dc.description.abstractThis paper studies the global robust stability of delayed neural networks. A new sufficient condition that ensures the existence, uniqueness and global robust asymptotic stability of the equilibrium point is presented. The obtained condition is derived by using the Lyapunov stability and Homomorphic mapping theorems and by employing the Lipschitz activation functions. The result presented establishes a relationship between the network parameters of the neural system independently of time delays. We show that our results is new and improves some of the previous global robust stability results expressed for delayed neural networks.en_US
dc.description.versionPublisher's Versionen_US
dc.identifier.citationÖzcan, N. & Arik, S. (2012). Robust Stability Analysis of a Class of Delayed Neural Networks. Paper presented at the In Proceedings of the 4th International Joint Conference on Computational Intelligence - Volume 1: NCTA, (IJCCI 2012) ISBN 978-989-8565-33-4, 603-606. DOI: 10.5220/0004090506030606en_US
dc.identifier.endpage606
dc.identifier.isbn9789898565334
dc.identifier.scopus2-s2.0-84886927417
dc.identifier.scopusqualityN/A
dc.identifier.startpage603
dc.identifier.urihttps://hdl.handle.net/11729/1928
dc.identifier.urihttp://dx.doi.org/10.5220/0004090506030606
dc.indekslendigikaynakScopusen_US
dc.institutionauthorArik, Sabrien_US
dc.institutionauthorid0000-0002-4390-5139
dc.language.isoenen_US
dc.peerreviewedYesen_US
dc.publicationstatusPublisheden_US
dc.relation.ispartofIJCCI 2012 - Proceedings of the 4th International Joint Conference on Computational Intelligenceen_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectDelayed Systemsen_US
dc.subjectLyapunov Functionalsen_US
dc.subjectNeural Networksen_US
dc.subjectStability Analysisen_US
dc.titleRobust stability analysis of a class of delayed neural networksen_US
dc.typeConference Objecten_US
dspace.entity.typePublication

Dosyalar

Orijinal paket
Listeleniyor 1 - 1 / 1
Küçük Resim Yok
İsim:
1928.pdf
Boyut:
126.87 KB
Biçim:
Adobe Portable Document Format
Açıklama:
Publisher's Version
İndir

Koleksiyon

Bildiri Koleksiyonu | Elektrik-Elektronik Mühendisliği Bölümü
Scopus İndeksli Yayınlar Koleksiyonu