Nonlinear control of a DC-motor based on radial basis function neural networks

dc.contributor.author	Νίνος, Κωνσταντίνος Δ.	el
dc.contributor.author	Γιαννακάκης, Χαράλαμπος	el
dc.contributor.author	Κομπογιάννης, Ιωάννης	el
dc.contributor.author	Σταύρακας, Ηλίας	el
dc.contributor.author	Αλεξανδρίδης, Αλέξανδρος Π.	el
dc.date.accessioned	2015-06-03T19:25:25Z
dc.date.issued	2015-06-03
dc.identifier.uri	http://hdl.handle.net/11400/15008
dc.rights	Αναφορά Δημιουργού-Μη Εμπορική Χρήση-Όχι Παράγωγα Έργα 3.0 Ηνωμένες Πολιτείες	*
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/3.0/us/	*
dc.source	http://ieeexplore.ieee.org/	en
dc.subject	Fuzzy Means
dc.subject	Intelligent Control
dc.subject	Neural Controller
dc.subject	Neural networks
dc.subject	Radial Basis Function
dc.subject	Ασαφή μέσα
dc.subject	Ευφυής Έλεγχος
dc.subject	Νευρωνικός ελεγκτής
dc.subject	Νευρωνικά Δίκτυα
dc.subject	Ακτινική συνάρτηση βάσης
dc.title	Nonlinear control of a DC-motor based on radial basis function neural networks	en
heal.type	conferenceItem
heal.classification	Technology
heal.classification	Electrical engineering
heal.classification	Τεχνολογία
heal.classification	Ηλεκτρολογία Μηχανολογία
heal.classificationURI	http://id.loc.gov/authorities/subjects/sh85133147
heal.classificationURI	http://zbw.eu/stw/descriptor/18426-4
heal.classificationURI	N/A-Τεχνολογία
heal.classificationURI	N/A-Ηλεκτρολογία Μηχανολογία
heal.keywordURI	http://zbw.eu/stw/descriptor/19808-6
heal.identifier.secondary	DOI: 10.1109/INISTA.2011.5946168
heal.dateAvailable	10000-01-01
heal.language	en
heal.access	forever
heal.publicationDate	2011
heal.bibliographicCitation	Ninos, K.D., Giannakakis, C., Kompogiannis, I., Stavrakas, I. & Alexandridis, A.P. (2011) Nonlinear control of a DC-motor based on radial basis function neural networks, In: Proceedings of the 2011 International Symposium on INnovations in Intelligent SysTems and Applications. Istanbul-Kadikoy, Turkey. 15-18 June, 2011. [online]. p. 611-615, 5946168. Available from: http://ieeexplore.ieee.org/	en
heal.abstract	This paper presents a nonlinear controller based on an inverse neural network model of the system under control. The neural controller is implemented as a Radial Basis Function (RBF) network trained with the powerful fuzzy means algorithm. The resulting controller is tested on a nonlinear DC motor control problem and the results illustrate the advantages of the proposed approach.	en
heal.publisher	IEEE	en
heal.fullTextAvailability	false
heal.conferenceName	2011 International Symposium on INnovations in Intelligent SysTems and Applications	en
heal.conferenceItemType	poster