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Real-Time Recurrent Neural State Estimation

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4 Author(s)
Alanis, Alma Y. ; Centro Univ. de Cienc. Exactas e Ingenierias, Univ. de Guadalajara, Guadalajara, Mexico ; Sanchez, Edgar N. ; Loukianov, Alexander G. ; Perez, M.A.

A nonlinear discrete-time neural observer for discrete-time unknown nonlinear systems in presence of external disturbances and parameter uncertainties is presented. It is based on a discrete-time recurrent high-order neural network trained with an extended Kalman-filter based algorithm. This brief includes the stability proof based on the Lyapunov approach. The applicability of the proposed scheme is illustrated by real-time implementation for a three phase induction motor.

Published in:

Neural Networks, IEEE Transactions on  (Volume:22 ,  Issue: 3 )

Date of Publication:

March 2011

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