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Introduction to Self-Optimization and DependabilityDevelopment of Self-Optimizing Systems -- Methods of Improving the Dependability of Self-Optimizing Systems -- Case Study -- Conclusion 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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Gausemeier, Jürgen 1948- (DE-588)124586112 (DE-627)363426647 (DE-576)174560311 aut, Dependability of Self-Optimizing Mechatronic Systems edited by Jürgen Gausemeier, Franz Josef Rammig, Wilhelm Schäfer, Walter Sextro, Berlin, Heidelberg s.l. Springer Berlin Heidelberg 2014, Online-Ressource (XVI, 193 p. 84 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, Introduction to Self-Optimization and DependabilityDevelopment of Self-Optimizing Systems -- Methods of Improving the Dependability of Self-Optimizing Systems -- Case Study -- Conclusion 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, 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)1033815330 (DE-627)742550745 (DE-576)381472469 Selbstoptimierung gnd, s (DE-588)4059245-5 (DE-627)106144111 (DE-576)209130075 Zuverlässigkeit 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, Sextro, Walter 1962- Hrsg. (DE-588)115685006 (DE-627)503816930 (DE-576)177485078 edt, 9783642537417, Druckausg. Dependability of self-optimizing mechatronic systems Berlin : Springer, 2014 XV, 193 S (DE-627)774415312 (DE-576)410147672 3642537413 9783642537417, https://doi.org/10.1007/978-3-642-53742-4 Verlag Volltext, http://dx.doi.org/10.1007/978-3-642-53742-4 Resolving-System lizenzpflichtig Volltext, https://swbplus.bsz-bw.de/bsz400387166cov.jpg V:DE-576 X:springer image/jpeg 20140523122742 Cover, (DE-627)777511304, http://dx.doi.org/10.1007/978-3-642-53742-4 DE-520, DE-520 2014-12-11T14:48:45Z, http://dx.doi.org/10.1007/978-3-642-53742-4 DE-Zwi2, DE-Zwi2 2014-02-03T13:43:45Z 2014-09-13, http://dx.doi.org/10.1007/978-3-642-53742-4 HTWK-Zugang DE-L189, DE-L189 2014-02-03T13:43:45Z |
spellingShingle |
Gausemeier, Jürgen, Dependability of Self-Optimizing Mechatronic Systems, Introduction to Self-Optimization and DependabilityDevelopment of Self-Optimizing Systems -- Methods of Improving the Dependability of Self-Optimizing Systems -- Case Study -- Conclusion 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, Selbstoptimierung, Zuverlässigkeit |
swb_id_str |
400387166 |
title |
Dependability of Self-Optimizing Mechatronic Systems |
title_auth |
Dependability of Self-Optimizing Mechatronic Systems |
title_full |
Dependability of Self-Optimizing Mechatronic Systems edited by Jürgen Gausemeier, Franz Josef Rammig, Wilhelm Schäfer, Walter Sextro |
title_fullStr |
Dependability of Self-Optimizing Mechatronic Systems edited by Jürgen Gausemeier, Franz Josef Rammig, Wilhelm Schäfer, Walter Sextro |
title_full_unstemmed |
Dependability of Self-Optimizing Mechatronic Systems edited by Jürgen Gausemeier, Franz Josef Rammig, Wilhelm Schäfer, Walter Sextro |
title_short |
Dependability of Self-Optimizing Mechatronic Systems |
title_sort |
dependability of self optimizing mechatronic systems |
topic |
Physics, Engineering design, Engineering, Technisches System, Mechatronik, Selbstoptimierung, Zuverlässigkeit |
topic_facet |
Physics, Engineering design, Engineering, Technisches System, Mechatronik, Selbstoptimierung, Zuverlässigkeit |
url |
https://doi.org/10.1007/978-3-642-53742-4, http://dx.doi.org/10.1007/978-3-642-53742-4, https://swbplus.bsz-bw.de/bsz400387166cov.jpg |