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Automated Approach for Optimizing Dynamic Systems

  • Dieter Bestle
  • Peter Eberhard
Chapter
Part of the ISNM International Series of Numerical Mathematics book series (ISNM, volume 115)

Abstract

The optimal design of nonlinear dynamic systems can be formulated as a multicriteria optimization problem. On the basis of a multibody system model integral type objective functions are defined evaluating the dynamic behavior of the system under consideration. Multicriteria optimization methods reduce the problem to nonlinear programming problems which can be solved with standard algorithms like the SQP method. The gradients required for such an efficient optimization procedure are computed by solving additional differential equations resulting from an adjoint variable approach. The whole design process can be highly automated by using computer algebra packages.

Keywords

Design Variable Multibody System Vector Optimization Problem Automate Approach Nonlinear Programming Problem 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Birkhäuser Verlag Basel 1994

Authors and Affiliations

  • Dieter Bestle
    • 1
  • Peter Eberhard
    • 1
  1. 1.Institute B of MechanicsUniversity of StuttgartStuttgartGermany

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