Please use this identifier to cite or link to this item: http://dx.doi.org/10.18419/opus-4554
Authors: Bestle, Dieter
Eberhard, Peter
Title: Automated approach for optimizing dynamic systems
Issue Date: 1994
metadata.ubs.publikation.typ: Buchbeitrag
metadata.ubs.publikation.source: Bulirsch, Roland (Hrsg.): Computational optimal control. Basel : Birkhäuser, 1994 (International series of numerical mathematics 115). - ISBN 3-7643-5015-6, S. 225-235
URI: http://nbn-resolving.de/urn:nbn:de:bsz:93-opus-88780
http://elib.uni-stuttgart.de/handle/11682/4571
http://dx.doi.org/10.18419/opus-4554
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.
Appears in Collections:07 Fakultät Konstruktions-, Produktions- und Fahrzeugtechnik

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