From an engineering point of view, non‐linear systems are essential to the operation of
control systems, because all systems actually have a non‐linear state in nature. In reality …

A novel parameter learning scheme using multi‐signal processing is developed that aims at
estimating parameters of the Hammerstein nonlinear model with output disturbance in this …

In this paper, a new approach is developed for the identification of Wiener–Hammerstein
model structures. Unlike several other papers, the transfer functions of linear elements are of …

This paper deals with the identification of Hammerstein–Wiener models. The novelty lies in
the fact that the front nonlinear block is allowed to be the memory of hysteresis type. The …

Most works on system identification of block‐oriented nonlinear systems were devoted to
Wiener and Hammerstein systems. This article is focused on a more general, and so more …

This paper mainly studies the parameter identification problem of multiple-input and single-
output Hammerstein controlled autoregressive moving average (MISO-HCARMA) system in …

This paper investigates the parameter estimation of multivariable Wiener nonlinear systems.
To solve the inconsistency problem of the parameter vector and the parameter matrix, the …

The main component in renewable energy and electrical vehicles is the electric motor. The
choice of a low-cost motor, easy to maintain and with high efficiency is an important issue …

The paper considers the problem of nonparametric estimation of nonlinear characteristic in
the FIR Wiener system. Methods proposed so far have suffered from the so-called 'curse of …

Switched reluctance motors (SRMs) present major interest in several domains, eg, in electric
vehicles, because of their wide range speed variation, high performances, low cost, and …