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Failure Domain Bounding With Applications to Dynamic Systems Uncertainty analysis and robust design - increase confidence and consistency in aerospace vehicle safety predictions by developing improved methods for quantifying and managing uncertainty. Quantifying: uncertainty modeling (model uncertainty based on experimental data, simulations and/or expert opinion) and uncertainty propagation (given uncertainty models of a system’s inputs, how to propagate them through system models, to efficiently evaluate the corresponding system’s outputs?). Managing: robust design (generate designs that robustly accommodate uncertainty) and uncertainty decomposition (identify uncertainties that contribute the most to performance degradation and determine the parameters that should (not) be modeled as uncertain).
Document ID
20200005008
Acquisition Source
Langley Research Center
Document Type
Presentation
Authors
Sean P Kenny
(Langley Research Center Hampton, Virginia, United States)
Daniel P Giesy
(Langley Research Center Hampton, Virginia, United States)
Luis G Crespo
(National Institute of Aerospace Hampton, Virginia, United States)
Date Acquired
May 11, 2020
Subject Category
Aircraft Stability And Control
Report/Patent Number
NF1676L-12725
Meeting Information
Meeting: NASA Statistical 2011 Engineering Symposium
Location: Williamsburg, VA
Country: US
Start Date: May 3, 2011
End Date: May 5, 2011
Sponsors: National Aeronautics and Space Administration
Funding Number(s)
WBS: 284848.02.07.07.01
Distribution Limits
Public
Copyright
Use by or on behalf of the US Gov. Permitted.
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