Further analysis of stability of uncertain neural networks with multiple time delays

Basit Öğe Kaydı
dc.authorid0000-0002-4390-5139
dc.contributor.authorArik, Sabrien_US
dc.date.accessioned2015-01-15T23:02:52Z
dc.date.available2015-01-15T23:02:52Z
dc.date.issued2014-01-27
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 robust stability of uncertain neural networks with multiple time delays with respect to the class of nondecreasing activation functions. By using the Lyapunov functional and homeomorphism mapping theorems, we derive a new delay-independent sufficient condition the existence, uniqueness, and global asymptotic stability of the equilibrium point for delayed neural networks with uncertain network parameters. The condition obtained for the robust stability establishes a matrix-norm relationship between the network parameters of the neural system, and therefore it can easily be verified. We also present some constructive numerical examples to compare the proposed result with results in the previously published corresponding literature. These comparative examples show that our new condition can be considered as an alternative result to the previous corresponding literature results as it defines a new set of network parameters ensuring the robust stability of delayed neural networks.en_US
dc.description.versionPublisher's Versionen_US
dc.identifier.citationArik, S. (2014). Further analysis of stability of uncertain neural networks with multiple time delays. Advances in Difference Equations, 2014(1), 1-16. doi:10.1186/1687-1847-2014-41en_US
dc.identifier.doi10.1186/1687-1847-2014-41
dc.identifier.endpage16
dc.identifier.issn1687-1847
dc.identifier.issue1
dc.identifier.scopus2-s2.0-84899423877
dc.identifier.scopusqualityQ2
dc.identifier.startpage1
dc.identifier.urihttps://hdl.handle.net/11729/550
dc.identifier.urihttp://dx.doi.org/10.1186/1687-1847-2014-41
dc.identifier.volume2014
dc.identifier.wosWOS:000334605900013
dc.identifier.wosqualityQ1
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.indekslendigikaynakScience Citation Index Expanded (SCI-EXPANDED)en_US
dc.institutionauthorArik, Sabrien_US
dc.institutionauthorid0000-0002-4390-5139
dc.language.isoenen_US
dc.peerreviewedYesen_US
dc.publicationstatusPublisheden_US
dc.publisherSpringer International Publishing AGen_US
dc.relation.ispartofAdvances in Difference Equationsen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectStability analysisen_US
dc.subjectDelayed neural networksen_US
dc.subjectInterval matricesen_US
dc.subjectLyapunov functionalsen_US
dc.subjectRobust exponential stabilityen_US
dc.subjectVarying delaysen_US
dc.subjectLeakage termsen_US
dc.subjectDissipativity analysisen_US
dc.subjectCriteriaen_US
dc.titleFurther analysis of stability of uncertain neural networks with multiple time delaysen_US
dc.typeArticleen_US
dspace.entity.typePublication

Dosyalar

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

Koleksiyon

Makale Koleksiyonu | Elektrik-Elektronik Mühendisliği Bölümü
Scopus İndeksli Yayınlar Koleksiyonu
WoS İndeksli Yayınlar Koleksiyonu