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Titre :
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Real-time discrete neural block control using sliding modes for electric induction motors (2011)
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Auteurs :
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Alma Y. Alanis, Auteur ;
Edgar N. Sanchez, Auteur ;
Loukianov, Alexander G., Auteur
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Type de document :
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Article : texte imprimé
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Dans :
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IEEE Transactions on control systems technology (Vol. 18 N° 1, Janvier 2010)
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Article en page(s) :
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pp. 11-21
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Note générale :
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Génie Aérospatial
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Langues :
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Anglais
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Index. décimale :
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629.1
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Tags :
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Discrete time nonlinear systems Electric induction motor Extended Kalman filtering (EKF) learning Neural block control (NBC) Sliding modes
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Résumé :
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This paper deals with real-time adaptive tracking for discrete-time induction motors in the presence of bounded disturbances. A high-order neural-network structure is used to identify the plant model, and based on this model, a discrete-time control law is derived, which combines discrete-time block-control and sliding-mode techniques. This paper also includes the respective stability analysis for the whole system with a strategy to avoid adaptive weight zero-crossing. The scheme is implemented in real time using a three-phase induction motor.
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DEWEY :
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629.1
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ISSN :
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1063-6536
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En ligne :
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http://ieeexplore.ieee.org/xpl/freeabs_all.jsp?arnumber=4814535
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