The aim of this book is to show that the nonparametric regression can be successfully
applied to system identification and how much can be achieved in this way. It gathers what …

This monograph systematically presents the existing identification methods of nonlinear
systems using the block-oriented approach It surveys various known approaches to the …

A Wiener system, ie a cascade system consisting of a linear dynamic subsystem and a
nonlinear memoryless subsystem is identified. The a priori information is nonparametric, ie …

The paper deals with estimation of block oriented systems by the Fourier series estimate.
Three types of systems are considered: cascade of nonlinear memoryless systems …

A continuous-time Hammerstein system driven by a random signal is identified from
observations sampled in time. The sampling may be uniform or not. The a-priori information …

A continuous-time Hammerstein system is identified. The characteristic of its nonlinear
subsystem and the impulse response of the dynamic parts are estimated from observations …

Two semiparametric algorithms to recover a nonlinear characteristic in a Hammerstein
system are proposed. Both are obtained by incorporating a parametric component into the …

Non-linear dynamic block-oriented systems of Hammerstein and Wiener type are identified.
The Hammerstein system consists of a memoryless non-linearity followed by a dynamic …

For a Hammerstein system subject to a stochastic input that is spectrally coloured, this study
is first in the open literature (to the present authors' best knowledge) to estimate its linear …

We consider a flexible joint two-link flexible joint space manipulator. Manipulator dynamics
is derived from Euler-Lagrange formulation. The joint dynamics includes non-linear stiffness …