Discrete time nonlinear identification via recurrent high order neural networks for a three phase induction motor

Authors:
Alma Y. Alanis;Edgar N. Sanchez;Alexander G. Loukianov;Marco A. Perez-Cisneros
Affiliations:
Departamento de Ciencias Computacionales, CUCEI, Universidad de Guadalajara, Jalisco, Mexico;CINVESTAV, Unidad Guadalajara, Jalisco, Mexico;CINVESTAV, Unidad Guadalajara, Jalisco, Mexico;Departamento de Ciencias Computacionales, CUCEI, Universidad de Guadalajara, Jalisco, Mexico
Venue:
ISNN'10 Proceedings of the 7th international conference on Advances in Neural Networks - Volume Part I
Year:
2010

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Abstract

This paper deals with the problem of discrete-time nonlinear system identification via Recurrent High Order Neural Networks It includes the respective stability analysis on the basis of the Lyapunov approach for the extended Kalman filter (EKF)-based NN training algorithm, which is applied for learning Applicability of the scheme is illustrated via simulation for a discrete-time nonlinear model of an electric induction motor.