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Intelligent Observer and Control Design for Nonlinear Systems

  • Dierk Schröder

About this book

Introduction

Control theory of nonlinear systems, in which either the linear part is known but the relevant nonlinearities in place, kind or parameters are unknown, or both the linear and the nonlinear parts are partially or even most unknown, is a new, demanding and highly interesting field. This book treats the problem by focussing on the role of learning. Intelligent learning techniques are able to determine the unknown components of nonlinear systems. These processes are always stable and convergent. The methods presented can be used both on-line and off-line. They have applications in mechatronics, hydraulics and combustion engines.

Keywords

artificial intelligence automation control control engineering control system control theory design friction fuzzy mechatronics model network neural networks nonlinear control nonlinear system

Editors and affiliations

  • Dierk Schröder
    • 1
  1. 1.Institute for Electrical Drive SystemsTechnical University of MunichMünchenGermany

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-662-04117-8
  • Copyright Information Springer-Verlag Berlin Heidelberg 2000
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-642-08346-4
  • Online ISBN 978-3-662-04117-8
  • Buy this book on publisher's site
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