Prologue

Abstract

This introductory chapter intends to provide a general overview about the most essential requirements, demands and challenges with respect to dynamic learning of data-driven models in non-stationary environments and applications. It outlines the main lines of research investigated during the last decade in order to cope with the requirements, inter alia to handle high system dynamics, online data streams recorded with a high frequency, drifting system states and very large data bases within fast sample-wise and single-pass model updates conducted on-the-fly and in incremental manner. The last part of this chapter outlines a compact summary of the contents of the book by providing a paragraph about each of the single contributions.