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Design Methodology for Intelligent Technical Systems: Develop Intelligent Technical Systems of the Future

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Personen und Körperschaften: Gausemeier, Jürgen (VerfasserIn), Rammig, Franz Josef (HerausgeberIn), Schäfer, Wilhelm (HerausgeberIn)
Titel: Design Methodology for Intelligent Technical Systems: Develop Intelligent Technical Systems of the Future/ edited by Jürgen Gausemeier, Franz Josef Rammig, Wilhelm Schäfer
Format: E-Book
Sprache: Englisch
veröffentlicht:
Berlin, Heidelberg, s.l. Springer Berlin Heidelberg 2014
Gesamtaufnahme: Lecture Notes in Mechanical Engineering
SpringerLink
Schlagwörter:
Physics
Engineering design
Engineering
Technisches System
Mechatronik
Lernendes System
Selbstoptimierung
Konzipieren <Technik>
Druckausg.: Design methodology for intelligent technical systems, Heidelberg : Springer, 2014, XVIII, 358 Seiten
Quelle: Verbunddaten SWB
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contents The Paradigm of Self-OptimizationExamples of Self-Optimizing Systems -- Development of Self-Optimizing Systems -- Methods for the Domain-Spanning Conceptual Design -- Methods for the Design and Development -- Summary and Outlook., 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
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spelling Gausemeier, Jürgen 1948- (DE-588)124586112 (DE-627)363426647 (DE-576)174560311 aut, Design Methodology for Intelligent Technical Systems Develop Intelligent Technical Systems of the Future edited by Jürgen Gausemeier, Franz Josef Rammig, Wilhelm Schäfer, Berlin, Heidelberg s.l. Springer Berlin Heidelberg 2014, Online-Ressource (XVIII, 358 p. 192 illus, online resource), Text txt rdacontent, Computermedien c rdamedia, Online-Ressource cr rdacarrier, Lecture Notes in Mechanical Engineering, SpringerLink Bücher, Description based upon print version of record, The Paradigm of Self-OptimizationExamples of Self-Optimizing Systems -- Development of Self-Optimizing Systems -- Methods for the Domain-Spanning Conceptual Design -- Methods for the Design and Development -- Summary and Outlook., 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, Physics, Engineering design, Engineering, Technisches System, Mechatronik, Lernendes System, Selbstoptimierung, Konzipieren <Technik>, s (DE-588)4126276-1 (DE-627)105733598 (DE-576)209583711 Technisches System gnd, s (DE-588)4238812-0 (DE-627)104876700 (DE-576)210416165 Mechatronik gnd, s (DE-588)4120666-6 (DE-627)105774871 (DE-576)209537000 Lernendes System gnd, s (DE-588)1033815330 (DE-627)742550745 (DE-576)381472469 Selbstoptimierung gnd, s (DE-588)4763110-7 (DE-627)376961309 (DE-576)216154367 Konzipieren Technik gnd, DE-101, Rammig, Franz Josef 1947- Hrsg. (DE-588)104493350X (DE-627)773130136 (DE-576)398227276 edt, Schäfer, Wilhelm 1954- Hrsg. (DE-588)122222776 (DE-627)081812523 (DE-576)293159912 edt, 9783642454349, Druckausg. Design methodology for intelligent technical systems Heidelberg : Springer, 2014 XVIII, 358 Seiten (DE-627)1609344553 (DE-576)407822879 3642454348 9783642454349, https://doi.org/10.1007/978-3-642-45435-6 Verlag Volltext, http://dx.doi.org/10.1007/978-3-642-45435-6 Resolving-System lizenzpflichtig Volltext, https://swbplus.bsz-bw.de/bsz400387050cov.jpg V:DE-576 X:springer image/jpeg 20140523123632 Cover, (DE-627)777511207, http://dx.doi.org/10.1007/978-3-642-45435-6 DE-Zwi2, DE-Zwi2 epn:3364193576 2014-02-03T13:43:42Z, http://dx.doi.org/10.1007/978-3-642-45435-6 HTWK-Zugang DE-L189, DE-L189 epn:3364193592 2014-02-03T13:43:42Z, http://dx.doi.org/10.1007/978-3-642-45435-6 DE-520, DE-520 epn:3364193614 2014-12-11T14:48:45Z
spellingShingle Gausemeier, Jürgen, Design Methodology for Intelligent Technical Systems: Develop Intelligent Technical Systems of the Future, The Paradigm of Self-OptimizationExamples of Self-Optimizing Systems -- Development of Self-Optimizing Systems -- Methods for the Domain-Spanning Conceptual Design -- Methods for the Design and Development -- Summary and Outlook., 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, Physics, Engineering design, Engineering, Technisches System, Mechatronik, Lernendes System, Selbstoptimierung, Konzipieren <Technik>, Konzipieren Technik
swb_id_str 400387050
title Design Methodology for Intelligent Technical Systems: Develop Intelligent Technical Systems of the Future
title_auth Design Methodology for Intelligent Technical Systems Develop Intelligent Technical Systems of the Future
title_full Design Methodology for Intelligent Technical Systems Develop Intelligent Technical Systems of the Future edited by Jürgen Gausemeier, Franz Josef Rammig, Wilhelm Schäfer
title_fullStr Design Methodology for Intelligent Technical Systems Develop Intelligent Technical Systems of the Future edited by Jürgen Gausemeier, Franz Josef Rammig, Wilhelm Schäfer
title_full_unstemmed Design Methodology for Intelligent Technical Systems Develop Intelligent Technical Systems of the Future edited by Jürgen Gausemeier, Franz Josef Rammig, Wilhelm Schäfer
title_short Design Methodology for Intelligent Technical Systems
title_sort design methodology for intelligent technical systems develop intelligent technical systems of the future
title_sub Develop Intelligent Technical Systems of the Future
title_unstemmed Design Methodology for Intelligent Technical Systems: Develop Intelligent Technical Systems of the Future
topic Physics, Engineering design, Engineering, Technisches System, Mechatronik, Lernendes System, Selbstoptimierung, Konzipieren <Technik>, Konzipieren Technik
topic_facet Physics, Engineering design, Engineering, Technisches System, Mechatronik, Lernendes System, Selbstoptimierung, Konzipieren <Technik>, Konzipieren
url https://doi.org/10.1007/978-3-642-45435-6, http://dx.doi.org/10.1007/978-3-642-45435-6, https://swbplus.bsz-bw.de/bsz400387050cov.jpg
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