Lecture Notes in Mechanical Engineering

Design Methodology for Intelligent Technical Systems

Develop Intelligent Technical Systems of the Future

Editors: Gausemeier, Jürgen, Rammig, Franz Josef, Schäfer, Wilhelm (Eds.)

  • 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)
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eBook $139.00
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  • ISBN 978-3-642-45435-6
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  • Immediate eBook download after purchase
Hardcover $179.00
price for USA
  • ISBN 978-3-642-45434-9
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $179.00
price for USA
  • Customers within the U.S. and Canada please contact Customer Service at 1-800-777-4643, Latin America please contact us at +1-212-460-1500 (Weekdays 8:30am – 5:30pm ET) to place your order.
  • Due: October 13, 2016
  • ISBN 978-3-662-52296-7
  • Free shipping for individuals worldwide
Rent the ebook  
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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.

Table of contents (1 chapters)

  • Development of Self-optimizing Systems

    Jürgen Gausemeier, Sebastian Korf, Mario Porrmann, Katharina Stahl, Oliver Sudmann, Mareen Vaßholz

    Pages 65-115

Buy this book

eBook $139.00
price for USA (gross)
  • ISBN 978-3-642-45435-6
  • Digitally watermarked, DRM-free
  • Included format: PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $179.00
price for USA
  • ISBN 978-3-642-45434-9
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $179.00
price for USA
  • Customers within the U.S. and Canada please contact Customer Service at 1-800-777-4643, Latin America please contact us at +1-212-460-1500 (Weekdays 8:30am – 5:30pm ET) to place your order.
  • Due: October 13, 2016
  • ISBN 978-3-662-52296-7
  • Free shipping for individuals worldwide
Rent the ebook  
  • Rental duration: 1 or 6 month
  • low-cost access
  • online reader with highlighting and note-making option
  • can be used across all devices
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Bibliographic Information

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
Copyright
2014
Publisher
Springer-Verlag Berlin Heidelberg
Copyright Holder
Springer-Verlag Berlin Heidelberg
eBook ISBN
978-3-642-45435-6
DOI
10.1007/978-3-642-45435-6
Hardcover ISBN
978-3-642-45434-9
Softcover ISBN
978-3-662-52296-7
Series ISSN
2195-4356
Edition Number
1
Number of Pages
XVIII, 358
Number of Illustrations and Tables
192 b/w illustrations
Topics