DocumentCode :
2830507
Title :
Domain Spanning Search for the Identification of Solution Patterns for the Conceptual Design of Self-Optimizing Systems
Author :
Klopper, Benjamin ; Podlogar, Herbert ; Gausemeier, Jürgen ; Witting, Katrin
Author_Institution :
Heinz Nixdorf Inst., Univ. of Paderborn, Paderborn
fYear :
2008
fDate :
1-5 Sept. 2008
Firstpage :
75
Lastpage :
79
Abstract :
The design of mechatronic systems is an interdisciplinary task. With the introduction of the new paradigm of self-optimization the number of domains involved in the early design phases is even increased. Mechanical, electrical, control, and software engineers are involved as well as experts from mathematical optimization and artificial intelligence. The domain spanning modelling of solution patterns for self-optimizing systems and the definition of appropriate means to identify these patterns are only two of the challenges arising from this new paradigm. This paper introduces the active pattern for self-optimization as a new type of solution pattern and defines the challenges arising from the various domains involved in the design process. To meet these challenges a concept for a domain spanning search is introduced and examplified.
Keywords :
mechatronics; ontologies (artificial intelligence); pattern recognition; self-adjusting systems; artificial intelligence; domain spanning search; mathematical optimization; mechatronic systems design; self-optimizing systems conceptual design; solution patterns identification; Artificial intelligence; Collaboration; Control engineering; Databases; Design methodology; Expert systems; Mathematics; Mechanical engineering; Mechatronics; Process design; conceptual design; domain spanning search; self-optimization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Database and Expert Systems Application, 2008. DEXA '08. 19th International Workshop on
Conference_Location :
Turin
ISSN :
1529-4188
Print_ISBN :
978-0-7695-3299-8
Type :
conf
DOI :
10.1109/DEXA.2008.111
Filename :
4624694
Link To Document :
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