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Risk, Optimization and Meanfield Type Control Read chapter Read first chapter

2019 | OriginalPaper | Chapter

A Novel Method for Inverse Uncertainty Propagation

Authors : Xin Chen, Arturo Molina-Cristóbal, Marin D. Guenov, Varun C. Datta, Atif Riaz

Published in: Advances in Evolutionary and Deterministic Methods for Design, Optimization and Control in Engineering and Sciences

Publisher: Springer International Publishing

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Abstract

Proposed is a novel method for inverse uncertainty propagation, ultimately aiming to facilitate the wider uncertainty allocation problem. The approach is enabled by techniques for the reversal of computational workflows and for the efficient propagation of uncertainty. The method is validated with analytical and numerical examples. Also a representative aircraft sizing code is used to illustrate the application in a more realistic setting.

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previous chapter Innovative Methodologies for Robust Design Optimization with Large Number of Uncertainties Using ModeFRONTIER
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Metadata
Title
A Novel Method for Inverse Uncertainty Propagation
Authors
Xin Chen
Arturo Molina-Cristóbal
Marin D. Guenov
Varun C. Datta
Atif Riaz
Copyright Year
2019
Book
Advances in Evolutionary and Deterministic Methods for Design, Optimization and Control in Engineering and Sciences

Print ISBN: 978-3-319-89986-2

Electronic ISBN: 978-3-319-89988-6

Copyright Year: 2019

DOI
https://doi.org/10.1007/978-3-319-89988-6_21

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