Control of a loaded induction machine using a feedforward neural network
- Author
- CHTOUROU, M1 ; DERBEL, N1 ; MOHAMED BEN ALI KAMOUN1
[1] Laboratoire d'Electrotechnique et d'Automatique (LETAU), Départment de Génie Electrique, Ecole Nationale d'Ingénieurs de Sfax, Route de Soukra Km 3.5, 3038 Sfax, Tunisia - Source
International journal of systems science. 1996, Vol 27, Num 12, pp 1287-1295 ; ref : 20 ref
- CODEN
- IJSYA9
- ISSN
- 0020-7721
- Scientific domain
- Control theory, operational research
- Publisher
- Taylor & Francis, London
- Publication country
- United Kingdom
- Document type
- Article
- Language
- English
- Keyword (fr)
- Algorithme apprentissage Boucle anticipation Commande vitesse Intégrateur Machine induction Perturbation Réseau neuronal Simulation Synthèse commande Système non linéaire
- Keyword (en)
- Learning algorithm Feedforward Speed control Integrator Induction machine Perturbation Neural network Simulation Control synthesis Non linear system
- Keyword (es)
- Algoritmo aprendizaje Ciclo anticipación Control velocidad Integrador Máquina inducción Perturbación Red neuronal Simulación Síntesis control Sistema no lineal
- Classification
- Pascal
- 001 Exact sciences and technology / 001D Applied sciences / 001D02 Computer science; control theory; systems / 001D02C Artificial intelligence / 001D02C06 Connectionism. Neural networks
- Pascal
- 001 Exact sciences and technology / 001D Applied sciences / 001D05 Electrical engineering. Electrical power engineering / 001D05D Electrical machines / 001D05D06 Regulation and control
- Discipline
- Computer science : theoretical automation and systems Electrical engineering. Electroenergetics
- Origin
- Inist-CNRS
- Database
- PASCAL
- INIST identifier
- 2580416
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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DOI
10.1080/00207729608929335 
https://dx.doi.org/10.1080/00207729608929335
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