Servicios Personalizados
Revista
Articulo
Indicadores
- Citado por SciELO
- Accesos
Links relacionados
- Similares en SciELO
Compartir
Computación y Sistemas
versión On-line ISSN 2007-9737versión impresa ISSN 1405-5546
Resumen
ALANIS, Alma Y.; SANCHEZ, Edgar N. y LOUKIANOV, Alexander G.. Real-time Discrete Nonlinear Identification via Recurrent High Order Neural Networks. Comp. y Sist. [online]. 2010, vol.14, n.1, pp.63-72. ISSN 2007-9737.
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.
Palabras llave : Neural identification; Extended Kalman filtering learning; Discrete-time nonlinear systems; Three phase induction motor.