There are several models for magnetic hysteresis. Their key purposes are to model
magnetization curves with a history dependence to achieve hysteresis cycles without a …

Block-oriented nonlinear models are popular in nonlinear system identification because of
their advantages of being simple to understand and easy to use. Many different identification …

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 …

In this paper, a new method for the identification of nonlinear system composed by the
Wiener and Hammerstein models connected in parallel is presented. This block‐oriented …

The problem of system identification is addressed for Hammerstein-Wiener systems that
involve memory operator of backlash type bordered by straight lines as input nonlinearity …

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 …

This paper investigates the parameter estimation of Hammerstein–Wiener systems whose
linear subsystems are observable state-space models. The particle swarm optimization …

In this paper, the identification of the Wiener–Hammerstein systems with unknown orders
linear subsystems and backlash is investigated by using the modified multi-innovation …

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 …