Please use this identifier to cite or link to this item: http://dx.doi.org/10.18419/opus-9099
Authors: Walz, Nico-Philipp
Burkhardt, Markus
Hanss, Michael
Eberhard, Peter
Title: Sensitivity computation for uncertain dynamical systems using high-dimensional model representation and hierarchical grids
Issue Date: 2015
metadata.ubs.publikation.typ: Konferenzbeitrag
metadata.ubs.konferenzname: IUTAM Symposium on "Dynamical Analysis of Multibody Systems with Design Uncertainties" (2014, Stuttgart)
metadata.ubs.publikation.seiten: 127-137
metadata.ubs.publikation.source: Procedia IUTAM 13 (2015), pp. 127-137
URI: http://elib.uni-stuttgart.de/handle/11682/9116
http://nbn-resolving.de/urn:nbn:de:bsz:93-opus-ds-91166
http://dx.doi.org/10.18419/opus-9099
ISSN: 2210-9838
Abstract: Global sensitivity analysis is an important tool for uncertainty analysis of systems with uncertain model parameters. A general framework for the determination of sensitivity measures for fuzzy uncertainty analysis is presented. The derivation is founded on the high-dimensional model representation, which provides a common basis with Sobol indices, illustrating the similarities and differences of fuzzy and stochastic uncertainty analysis. For the numerical calculation, a sparse-grid approach is suggested, providing an efficient realization due to the direct relationship between hierarchical grids and the sensitivity measures.
Appears in Collections:07 Fakultät Konstruktions-, Produktions- und Fahrzeugtechnik

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