Real-time Discrete Nonlinear Identification via Recurrent High Order Neural Networks

Real-time Discrete Nonlinear Identification via Recurrent High Order Neural Networks

This paper deals with the discrete-time nonlinear system identification via Recurrent High Order Neural Networks, trained with an extended Kalman filter (EKF) based algorithm. The paper also includes the respective stability analysis on the basis of the Lyapunov approach for the whole scheme. Applicability of the scheme is illustrated via real-time implementation for a three phase induction motor.

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Bibliographic Details
Main Authors: Alanis,Alma Y., Sanchez,Edgar N., Loukianov,Alexander G.
Format: Digital revista
Language:English
Published: Instituto Politécnico Nacional, Centro de Investigación en Computación 2010
Online Access:http://www.scielo.org.mx/scielo.php?script=sci_arttext&pid=S1405-55462010000300007
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http://www.scielo.org.mx/scielo.php?script=sci_arttext&pid=S1405-55462010000300007

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