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 paper deals with identification of fractional order nonlinear systems based on
Hammerstein–Wiener models. An output error approach is developed using the robust …

In this study, a novel approach for nonlinear process identification via neural fuzzy-based
Hammerstein-Wiener model with process disturbance by means of multi-signal processing …

This article considers the parameter estimation problems of two‐input single‐output
Hammerstein output‐error moving average systems. The system is decomposed into two …

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 …

This article develops the modified extended Kalman filter based recursive estimation
algorithms for Wiener nonlinear systems with process noise and measurement noise. The …

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 …