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|Title:||Discrete time nonlinear identification via recurrent high order neural networks for a three phase induction motor|
|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. 2010 Springer-Verlag.|
|Appears in Collections:||Producción científica UdeG|
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