Please use this identifier to cite or link to this item: http://hdl.handle.net/11400/15008
Title: Nonlinear control of a DC-motor based on radial basis function neural networks
Authors: Νίνος, Κωνσταντίνος Δ.
Γιαννακάκης, Χαράλαμπος
Κομπογιάννης, Ιωάννης
Σταύρακας, Ηλίας
Αλεξανδρίδης, Αλέξανδρος Π.
Item type: Conference publication
Conference Item Type: Poster
Keywords: Fuzzy Means;Intelligent Control;Neural Controller;Neural networks;Radial Basis Function;Ασαφή μέσα;Ευφυής Έλεγχος;Νευρωνικός ελεγκτής;Νευρωνικά Δίκτυα;Ακτινική συνάρτηση βάσης
Subjects: Technology
Electrical engineering
Τεχνολογία
Ηλεκτρολογία Μηχανολογία
Issue Date: 3-Jun-2015
2011
Publisher: IEEE
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.
Language: English
Citation: 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/
Conference: 2011 International Symposium on INnovations in Intelligent SysTems and Applications
Access scheme: Embargo
License: Αναφορά Δημιουργού-Μη Εμπορική Χρήση-Όχι Παράγωγα Έργα 3.0 Ηνωμένες Πολιτείες
URI: http://hdl.handle.net/11400/15008
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