© 2014

Design Methodology for Intelligent Technical Systems

Develop Intelligent Technical Systems of the Future

  • Jürgen Gausemeier
  • Franz Josef Rammig
  • Wilhelm Schäfer
  • Presents the methods needed to implement self-optimization in mechatronic systems easily to develop the technical systems of the future

  • Provides a holistic approach for the development of self-optimizing systems

  • Outcome of the Collaborative Research Centre (CRC) 614 “Self-optimizing concepts and structures in mechanical engineering”, funded from June 2002 until June 2013 by the German Research Foundation (DFG)


Part of the Lecture Notes in Mechanical Engineering book series (LNME)

Table of contents

  1. Front Matter
    Pages 1-15
  2. Michael Dellnitz, Roman Dumitrescu, Kathrin Flaßkamp, Jürgen Gausemeier, Philip Hartmann, Peter Iwanek et al.
    Pages 1-25
  3. Joachim Böcker, Christian Heinzemann, Christian Hölscher, Jan Henning Keßler, Bernd Kleinjohann, Lisa Kleinjohann et al.
    Pages 27-64
  4. Jürgen Gausemeier, Sebastian Korf, Mario Porrmann, Katharina Stahl, Oliver Sudmann, Mareen Vaßholz
    Pages 65-115
  5. Harald Anacker, Christian Brenner, Rafal Dorociak, Roman Dumitrescu, Jürgen Gausemeier, Peter Iwanek et al.
    Pages 117-182
  6. Harald Anacker, Michael Dellnitz, Kathrin Flaßkamp, Stefan Groesbrink, Philip Hartmann, Christian Heinzemann et al.
    Pages 183-350
  7. Jürgen Gausemeier, Mareen Vaßholz
    Pages 351-352
  8. Back Matter
    Pages 353-358

About this book


Intelligent technical systems, which combine mechanical, electrical and software engineering with control engineering and advanced mathematics, go far beyond the state of the art in mechatronics and open up fascinating perspectives. Among these systems are so-called self-optimizing systems, which are able to adapt their behavior autonomously and flexibly to changing operating conditions. Self-optimizing systems create high value for example in terms of energy and resource efficiency as well as reliability.


The Collaborative Research Center 614 "Self-optimizing Concepts and Structures in Mechanical Engineering" pursued the long-term aim to open up the active paradigm of self-optimization for mechanical engineering and to enable others to develop self-optimizing systems.


This book is directed to researchers and practitioners alike. It provides a design methodology for the development of self-optimizing systems consisting of a reference process, methods, and tools. The reference process is divided into two phases the domain-spanning conceptual design and the domain-specific design and development. For the conceptual design a holistic approach is provided. Domain-specific methods and tools developed especially for the design and development of self-optimizing systems are described and illustrated by application examples. This book will enable the reader to identify the potential for self-optimization and to develop self-optimizing systems independently.


Agent Based Systems Approach Embedded Systems Holistic Development Mechanical Engineering Mechatronics Partial Intelligence Product Engineering Self-Optimization for Mechancial Engineering

Editors and affiliations

  • Jürgen Gausemeier
    • 1
  • Franz Josef Rammig
    • 2
  • Wilhelm Schäfer
    • 3
  1. 1.Product EngineeringHeinz Nixdorf Institute, University of PaderbornPaderbornGermany
  2. 2.Design of Distributed Embedded SystemsHeinz Nixdorf Institute, University of PaderbornPaderbornGermany
  3. 3.Software EngineeringHeinz Nixdorf Institute, University of PaderbornPaderbornGermany

Bibliographic information

  • Book Title Design Methodology for Intelligent Technical Systems
  • Book Subtitle Develop Intelligent Technical Systems of the Future
  • Editors Jürgen Gausemeier
    Franz Josef Rammig
    Wilhelm Schäfer
  • Series Title Lecture Notes in Mechanical Engineering
  • Series Abbreviated Title Lect.Notes Mechanical Engineering
  • DOI
  • Copyright Information Springer-Verlag Berlin Heidelberg 2014
  • Publisher Name Springer, Berlin, Heidelberg
  • eBook Packages Engineering Engineering (R0)
  • Hardcover ISBN 978-3-642-45434-9
  • Softcover ISBN 978-3-662-52296-7
  • eBook ISBN 978-3-642-45435-6
  • Series ISSN 2195-4356
  • Series E-ISSN 2195-4364
  • Edition Number 1
  • Number of Pages XVIII, 358
  • Number of Illustrations 192 b/w illustrations, 0 illustrations in colour
  • Topics Engineering Design
  • Buy this book on publisher's site
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