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).
Failure Domain Bounding With Applications to Dynamic Systems
NASA Statistical 2011 Engineering Symposium ; 2011 ; Williamsburg, VA, US
Miscellaneous
No indication
English
Robust Design Optimization via Failure Domain Bounding
AIAA | 2007
|Preliminary Bounding Experiments in a Dynamic Hexapod
Springer Verlag | 2003
|BOUNDING TAIL PROBABILITIES IN DYNAMIC ECONOMIC MODELS
British Library Online Contents | 2012
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