Nonlinear problems have drawn great interest and extensive attention from engineers,
physicists and mathematicians and many other scientists because most real systems are …

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 …

This note further investigates the locally and globally adaptive synchronization of an
uncertain complex dynamical network. Several network synchronization criteria are …

Linear system identification [1]-[4] is a basic step in modern control design approaches.
Starting from experimental data, a linear dynamic time-invariant model is identified to …

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 …

In vielen technischen und nichttechnischen Teilgebieten der Wissenschaft lassen sich
untersuchte Zusammenhänge und neu entdeckte Phänomene als dynamische Systeme …

There has been a rapid increase recently in the number of software packages available to
generate different types of perturbation signals for the purpose of system identification in the …

The Wiener-Hammerstein (WH) system is a popular and easy to understand class of Volterra
nonlinear dynamical system. It consists of a static nonlinearity positioned between two …

This paper considers the identification of Wiener–Hammerstein systems using Least-
Squares Support Vector Machines based models. The power of fully black-box NARX-type …

The Wiener-Hammerstein (WH) system is the most popular type of the Volterra nonlinear
dynamical system. It is a combination of two dynamical subsystems, separated by a static …