Many real world systems exhibit a quasi linear or weakly nonlinear behavior during normal
operation, and a hard saturation effect for high peaks of the input signal. In this paper, a …

Many real world systems exhibit a quasi linear or weakly nonlinear behavior during normal
operation, and a hard saturation effect for high peaks of the input signal. A typical example of …

Identification of nonlinear systems, especially with multiple local nonlinearities exhibiting
disproportional ratios of the degree of nonlinearity and present at a single or multiple spatial …

This paper investigates the two-stage stepwise identification for a class of nonlinear dynamic
systems that can be described by linear-in-the-parameters models, and the model has to be …

In this case study, we will illustrate the capabilities, flexibility and short-comings of an
unstructured nonlinear modelling approach applied to the cascased tanks system …

Aiming at identifying nonlinear systems, one of the most challenging problems in system
identification, a class of data-driven recursive least squares algorithms are presented in this …

The aim of this dissertation is to develop mathematical/numerical approaches to parameter
estimation in nonlinear dynamical systems that are modeled by ordinary differential …

The identification of nonlinear spatiotemporal systems is of significance to engineering
practice, since it can always provide useful insight into the underlying nonlinear mechanism …

Most works related to the identification of mathematical nonlinear systems suggest that such
approaches can always be directly applied to any nonlinear system. This misconception is …

Although a vast number of techniques for the identification of nonlinear discrete-time
systems have been introduced, the identification of continuous-time nonlinear systems is still …