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Recurrent RBFN-based fuzzy neural network control for X-Y-Θ motion control stage using linear ultrasonic motors

Author
LIN, Faa-Jeng1 ; SHIEH, Po-Huang1
[1] Department of Electrical Engineering, National Dong Hwa University, Hualien 974, Taiwan, Province of China
Source

IEEE transactions on ultrasonics, ferroelectrics, and frequency control. 2006, Vol 53, Num 12, pp 2450-2464, 15 p ; ref : 21 ref

CODEN
ITUCER
ISSN
0885-3010
Scientific domain
Electronics; Mechanics acoustics
Publisher
Institute of Electrical and Electronics Engineers, New York, NY
Publication country
United States
Document type
Article
Language
English
Keyword (fr)
Commande floue Commande position Etude expérimentale Gradient Intelligence artificielle Micromoteur Miniaturisation Moteur linéaire Moteur ultrason Moteur électrique Réseau neuronal flou Réseau neuronal Transducteur piézoélectrique
Keyword (en)
Fuzzy control Position control Experimental study Gradient Artificial intelligence Micromotors Miniaturization Linear motors Ultrasonic motors Electric motors Fuzzy neural nets Neural networks Piezoelectric transducers
Keyword (es)
Gradiente
Classification
Pascal
001 Exact sciences and technology / 001B Physics / 001B00 General / 001B00G Instruments, apparatus, components and techniques common to several branches of physics and astronomy / 001B00G07 General equipment and techniques / 001B00G07M Transducers

Discipline
Metrology
Origin
Inist-CNRS
Database
PASCAL
INIST identifier
18311897

Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS

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