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Design Methodology for Intelligent Technical Systems

Develop Intelligent Technical Systems of the Future

  • Book
  • © 2014

Overview

Editors:
  1. Jürgen Gausemeier

    1. Product Engineering, Heinz Nixdorf Institute, University of Paderborn, Paderborn, Germany

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  2. Franz Josef Rammig

    1. Design of Distributed Embedded Systems, Heinz Nixdorf Institute, University of Paderborn, Paderborn, Germany

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  3. Wilhelm Schäfer

    1. Software Engineering, Heinz Nixdorf Institute, University of Paderborn, Paderborn, Germany

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  • 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 book series: Lecture Notes in Mechanical Engineering (LNME)

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Table of contents (6 chapters)

  1. Front Matter

    Pages 1-15
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  2. The Paradigm of Self-optimization

    • Michael Dellnitz, Roman Dumitrescu, Kathrin Flaßkamp, Jürgen Gausemeier, Philip Hartmann, Peter Iwanek et al.
    Pages 1-25

  3. Examples of Self-optimizing Systems

    • Joachim Böcker, Christian Heinzemann, Christian Hölscher, Jan Henning Keßler, Bernd Kleinjohann, Lisa Kleinjohann et al.
    Pages 27-64

  4. Development of Self-optimizing Systems

    • Jürgen Gausemeier, Sebastian Korf, Mario Porrmann, Katharina Stahl, Oliver Sudmann, Mareen Vaßholz
    Pages 65-115

  5. Methods for the Domain-Spanning Conceptual Design

    • Harald Anacker, Christian Brenner, Rafal Dorociak, Roman Dumitrescu, Jürgen Gausemeier, Peter Iwanek et al.
    Pages 117-182

  6. Methods for the Design and Development

    • Harald Anacker, Michael Dellnitz, Kathrin Flaßkamp, Stefan Groesbrink, Philip Hartmann, Christian Heinzemann et al.
    Pages 183-350

  7. Summary and Outlook

    • Jürgen Gausemeier, Mareen Vaßholz
    Pages 351-352

  8. Back Matter

    Pages 353-358
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Keywords

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.

Editors and Affiliations

  • Product Engineering, Heinz Nixdorf Institute, University of Paderborn, Paderborn, Germany

    Jürgen Gausemeier

  • Design of Distributed Embedded Systems, Heinz Nixdorf Institute, University of Paderborn, Paderborn, Germany

    Franz Josef Rammig

  • Software Engineering, Heinz Nixdorf Institute, University of Paderborn, Paderborn, Germany

    Wilhelm Schäfer

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

  • DOI: https://doi.org/10.1007/978-3-642-45435-6

  • Publisher: Springer Berlin, Heidelberg

  • eBook Packages: Engineering, Engineering (R0)

  • Copyright Information: Springer-Verlag Berlin Heidelberg 2014

  • Hardcover ISBN: 978-3-642-45434-9Published: 10 February 2014

  • Softcover ISBN: 978-3-662-52296-7Published: 27 August 2016

  • eBook ISBN: 978-3-642-45435-6Published: 28 January 2014

  • Series ISSN: 2195-4356

  • Series E-ISSN: 2195-4364

  • Edition Number: 1

  • Number of Pages: XVIII, 358

  • Number of Illustrations: 192 b/w illustrations

  • Topics: Engineering Design, Mechatronics, Complexity

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