Identification of phase self-inductance is a central step in control and development of
Switched Reluctance Machine (SRM) model because the voltage and torque equation are …

Presently, the problem of parameter estimation is addressed for a more general nonlinear
model. In this respect, the proposed nonlinear system is composed of the parallel …

This paper aims, to presents a new method for identified the parameters of switched
reluctance machine (SRM) using neural network and Hammerstein model. This latter, is …

Presently, the problem of parameter estimation of motors used in electrical vehicles is
discussed. To make the control more efficient, a model of the electrical motor is developed …

In this work, an identification approach of nonlinear systems is studied. Presently, the
nonlinear system can be described by Wiener-Hammerstein model. This latter is composed …

Nonlinear system identification has been a hot research field over the past two decades. A
substantial portion of the research work has been carried out based on block-structured …

2019 Proceedings of the Conference on Control and its Applications : Identification of nonlinear
systems Page 1 Identification of nonlinear systems ∗ Adil BROURI† Laila KADI‡ Abstract In the …

The article deals with the task of developing a mathematical model and its computer
implementation, which connects the pH (acidity of the environment) with the factors on which …

In this paper, nonparametric identification for nonlinear autoregressive systems with
exogenous inputs (NARX) is considered. In order to provide the identification of the …

In this paper we propose an identification method of nonlinear system. This later can be
structured by Wiener models. The determination of nonlinear system parameters can be …