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Design Methodology for Intelligent Technical Systems : Develop Intelligent Technical Systems of the Future - H. Mohr
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Design Methodology for Intelligent Technical Systems - Jürgen Gausemeier; Jürgen Gausemeier; Franz Josef Rammig; Franz Josef Rammig; Wilhelm Schäfer; Wilhelm Schäfer
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Jürgen Gausemeier; Jürgen Gausemeier; Franz Josef Rammig; Franz Josef Rammig; Wilhelm Schäfer; Wilhelm Schäfer:

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Jürgen Gausemeier; Franz Josef Rammig; Wilhelm Schäfer:
Design Methodology for Intelligent Technical Systems - nuovo livro

2014, ISBN: 9783642454356

Develop Intelligent Technical Systems of the Future, eBooks, eBook Download (PDF), 2014, [PU: Springer Berlin], Springer Berlin, 2014

Custos de envio:Download sofort lieferbar. (EUR 13.95)

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EAN (ISBN-13): 9783642454356
ISBN (ISBN-10): 3642454356
Ano de publicação: 2014
Editor/Editora: Springer-Verlag

Livro na base de dados desde 2014-07-29T19:39:54-03:00 (Sao Paulo)
Página de detalhes modificada pela última vez em 2024-01-08T20:21:06-03:00 (Sao Paulo)
Número ISBN/EAN: 9783642454356

Número ISBN - Ortografia alternativa:
3-642-45435-6, 978-3-642-45435-6
Ortografia alternativa e termos de pesquisa relacionados:
Autor do livro: gauß, schäfer wilhelm, gause, ram, ramm, schäfer jürgen, gaus, franz wilhelm, schäfer wilh, franz josef schäfer, jürgen fränz, rammig
Título do livro: system design, intelligent design, technica, future systems


Dados da editora

Autor: Jürgen Gausemeier; Franz Josef Rammig; Wilhelm Schäfer
Título: Lecture Notes in Mechanical Engineering; Design Methodology for Intelligent Technical Systems - Develop Intelligent Technical Systems of the Future
Editora: Springer; Springer Berlin
358 Páginas
Ano de publicação: 2014-01-28
Berlin; Heidelberg; DE
Língua: Inglês
96,29 € (DE)
99,00 € (AT)
118,00 CHF (CH)
Available
XVIII, 358 p. 192 illus.

EA; E107; eBook; Nonbooks, PBS / Technik/Maschinenbau, Fertigungstechnik; Konstruktion, Entwurf; Verstehen; Agent Based Systems; Approach; Embedded Systems; Holistic Development; Mechanical Engineering; Mechatronics; Partial Intelligence; Product Engineering; Self-Optimization for Mechancial Engineering; complexity; B; Engineering Design; Mechatronics; Applied Dynamical Systems; Engineering; Elektronik; Maschinenbau; Mathematik für Ingenieure; Kybernetik und Systemtheorie; BB

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.
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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