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Real-time Discrete Nonlinear Identification via Recurrent High Order Neural Networks
(Revista Computación y Sistemas; Vol. 14 No.1, 2010-09-30)
Abstract. 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 ...
High-order upwinding and the hydraulic jump
(Wiley-Blackwell, 2002-07-10)
This work is concerned with the computation of incompressible axisymmetric and fall three-dimensional free-surface flows. In particular, the circular-hydraulic jump is simulated and compared with approximate analytic ...
High-order upwinding and the hydraulic jump
(Wiley-Blackwell, 2014)
High-order upwinding and the hydraulic jump
(Wiley-Blackwell, 2002-07-10)
This work is concerned with the computation of incompressible axisymmetric and fall three-dimensional free-surface flows. In particular, the circular-hydraulic jump is simulated and compared with approximate analytic ...
Discrete-time recurrent high order neural observer for induction motors
(2007)
A nonlinear discrete-time neural observer for the state estimation of a discrete-time induction motor model, in presence of external and internal uncertainties is presented. The observer is based on a discrete-time recurrent ...
Real-time discrete recurrent high order neural observer for induction motors
(2008)
A nonlinear discrete-time neural observer for the state estimation of a discrete-time induction motor model, in presence of external and internal uncertainties is presented. The observer is based on a discrete-time recurrent ...
Discrete-time recurrent high order neural observer for induction motors
(2007)
A nonlinear discrete-time neural observer for the state estimation of a discrete-time induction motor model, in presence of external and internal uncertainties is presented. The observer is based on a discrete-time recurrent ...
Real-time discrete recurrent high order neural observer for induction motors
(2008)
A nonlinear discrete-time neural observer for the state estimation of a discrete-time induction motor model, in presence of external and internal uncertainties is presented. The observer is based on a discrete-time recurrent ...