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Conclusion and Outlook

  • Tobias Meyer
  • Claudia Priesterjahn
  • Walter Sextro
Part of the Lecture Notes in Mechanical Engineering book series (LNME)

Abstract

Self-optimizing mechatronic systems offer capabilities well beyond those of traditional technical systems. They are able to react autonomously to changing system objectives based on an evaluation of their current situation. Their development requires the joint effort of several domains: mechanical engineering, electrical engineering, control engineering, software engineering and mathematics, and their advanced functionality makes self-optimizing mechatronic systems complex a challenge to develop. This challenge is taken up by a custom-tailored development process which is introduced in the accompanying book ”Design Methodology for Intelligent Technical Systems” [1].

References

  1. 1.
    Gausemeier, J., Rammig, F.J., Schäfer, W. (eds.): Design Methodology for Intelligent Technical Systems. Lecture Notes in Mechanical Engineering. Springer, Heidelberg (2014), doi:10.1007/978-3-642-45435-6_2Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 2014

Authors and Affiliations

  • Tobias Meyer
    • 1
  • Claudia Priesterjahn
    • 2
  • Walter Sextro
    • 1
  1. 1.Mechatronics and DynamicsUniversity of PaderbornPaderbornGermany
  2. 2.Software Engineering Group, Heinz Nixdorf InstituteUniversity of PaderbornPaderbornGermany

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