This paper is a tutorial of nonlinear system modeling methods which are based on the
Wiener theory of nonlinear systems. The basic concepts that underlie the Wiener theory are …

A Wiener system, ie, a system consisting of a linear dynamic subsystem followed by a
memoryless nonlinear one is identified. The system is driven by a stationary white Gaussian …

Abstract System identification deals with the problem of constructing models of systems from
observations of the inputs and outputs to the systems. In this thesis, a particular class of …

ABSTRACT A practical and relatively simple method of measuring the Wiener kernels of a
non-linear system is presented. The method is based upon cross-correlation techniques and …

This paper develops and illustrates a new maximum-likelihood based method for the
identification of Hammerstein–Wiener model structures. A central aspect is that a very …

An algorithm for the identification of nonlinear systems which can be described by a Wiener
model consisting of a linear system followed by a single-valued nonlinearity is presented …

The Wiener model is a block oriented model, having a linear dynamic system followed by a
static nonlinearity. The dominating approach to estimate the components of this model has …

The Wiener theory of nonlinear system characterization is described and some of its
important concepts are discussed. Following these lines, a theory is developed for the …

In this paper, a method is presented to extend the classical identification methods for linear
systems towards nonlinear modelling of linear systems that suffer from nonlinear distortions …

Wiener systems are widely encountered in engineering and science applications. This
paper proposes a straightforward approach to the identification of Wiener systems in a noisy …