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 …

Wiener–Hammerstein models are flexible, well known and often studied. The main
challenge in identifying a Wiener–Hammerstein model is to distinguish the linear time …

This paper describes the identification of Wiener–Hammerstein models and two recently
suggested algorithms are applied to the SYSID'09 benchmark data. The most difficult step in …

Nowadays, there is a high need for accurate, parsimonious nonlinear dynamic models.
Block-oriented nonlinear model structures are known to be excellent candidates for this task …

The engineers and scientists want mathematical models of the observed system for
understanding, design and control. Most of these systems are nonlinear. There is not a …

Many systems over different fields of engineering exhibit a nonlinear dynamic behavior.
Block-oriented models are often used to model nonlinear dynamical systems (eg chemical …

Current methods to identify Wiener‐Hammerstein systems using Best Linear Approximation
(BLA) involve at least two steps. First, BLA is divided into obtaining front and back linear …

In this work a new initialization scheme for nonlinear state-space models is applied to the
problem of identifying a Wiener–Hammerstein system on the basis of a set of real data. The …

The content of the current thesis can be scientifically categorized in the field of System
Identification. The introductory chapter contains a brief presentation of the purpose of this …

This introduction first gives an idea of what system identification (or modeling) is, where it is
applied, how a model can be obtained and what affects its quality. Next, the difference …