• 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