Nonlinear system identification is an extremely broad topic, since every system that is not
linear is nonlinear. That makes it impossible to give a full overview of all aspects of the fi eld …

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

Most works on system identification of block‐oriented nonlinear systems were devoted to
Wiener and Hammerstein systems. This article is focused on a more general, and so more …

We present a method to decompose a set of multivariate real polynomials into linear
combinations of univariate polynomials in linear forms of the input variables. The method …

Block-oriented nonlinear models are popular in nonlinear modeling because of their
advantages to be quite simple to understand and easy to use. To increase the flexibility of …

Block-oriented models are often used to model a nonlinear system. This paper presents an
identification method for parallel Wiener-Hammerstein systems, where the obtained model …

This paper is focused on the problem of system identification for a class of nonlinear systems
constituted of a Wiener subsystem and Hammerstein subsystem connected in parallel. Most …

In this paper we discuss how to identify a mathematical model for a (non) linear dynamic
system starting from experimental data. In the initial step, the frequency response function is …

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 …