It poses significant challenge to control Hammerstein–Wiener systems involving modeling
nonlinearities. In this paper, a novel data-driven predictive control method based on the …

Motion control involving DC motors requires a closed-loop system with a suitable
compensator if tracking performance with high precision is desired. In the case where …

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 …

This paper discusses a nonlinear Model Predictive Control (MPC) algorithm for multiple-
input multiple-output dynamic systems represented by cascade Hammerstein–Wiener …

This paper proposes an innovative identification approach of nonlinear stochastic systems
using Hammerstein–Wiener (HW) model with output‐error autoregressive (OEA) noise. Two …

Wiener model, which is one of the structures used in the modeling of nonlinear systems,
consists of the cascade connection as that a dynamic linear system is followed in series by a …

ABSTRACT Model analysis of Hammerstein-Wiener systems has been made, and it is found
that the included angle is applicable to such systems to measure the non-linearity. Then, a …

Hammerstein-Wiener models have been proved to be suitable in modelling a class of typical
non-linear dynamic systems. This paper aims at developing a Hammerstein-Wiener Neural …

Social media users can easily be offended or hurt on those platforms, which leads to
discomfort and health issues such as stress and anxiety. Forgiveness plays an important …

In this study, a recursive algorithm is presented for identification of both linear and non‐
linear blocks of the Hammerstein–Wiener (H–W) models. An iterative sampling schema is …