There has been an unsettling rise in the river contamination due to the climate change and
anthropogenic activities. Last decades' research has immensely focussed on river basin …

Big data has now become a strong focus of global interest that is increasingly attracting the
attention of academia, industry, government and other organizations. Big data can be …

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 rising water pollution from anthropogenic factors motivates further research in
developing water quality predicting models. The available models have certain limitations …

In this contribution we give an overview and discussion of the basic steps of System
Identification. The four main ingredients of the process that takes us from observed data to a …

Fuzzy control is a practical alternative for a variety of challenging control applications since it
provides a convenient method for constructing nonlinear controllers via the use of heuristic …

A nonlinear black-box structure for a dynamical system is a model structure that is prepared
to describe virtually any nonlinear dynamics. There has been considerable recent interest in …

At publication, The Control Handbook immediately became the definitive resource that
engineers working with modern control systems required. Among its many accolades, that …

This survey paper contains a review of the past and recent developments in system
identification of nonlinear dynamical structures. The objective is to present some of the …

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