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 …

The identification of the multiple model-based Hammerstein parameter varying systems is
studied in this paper. The parameters of the considered systems vary as the systems perform …

Input design has a dominant role in developing the dynamic model of an autonomous
underwater vehicle (AUV) through system identification. Optimal input design is the process …

We propose a new methodology for identifying Wiener systems using the data acquired from
two separate experiments. In the first experiment, we feed the system with a sinusoid at a …

In this work, experiment design for marine vessels is explored. A dictionary-based approach
is used, ie, a systematic way of choosing the most informative combination of independent …

As marine vessels are becoming increasingly automated, having accurate simulation
models available is turning into an absolute necessity. This holds both for the facilitation of …

In order to give a sufficient description of system characteristics, this paper proposes a
Wiener model for nonlinear dynamic soft sensors. Based on the model, an improved swarm …

The Wiener system is a type of block-oriented system that consists of a linear model followed
in series with a static nonlinear element. In this work, two novel identification methods are …

A new two-stage approach to the identification of polynomial Wiener systems is proposed. It
is assumed that the linear dynamic system is described by a transfer function model, the …

The aim of this book is to provide methods and algorithms for the optimization of input
signals so as to estimate parameters in systems described by PDE's as accurate as possible …