Luis Crespo, National Institute of Aerospace

An Introduction to Uncertainty Based Methods and Robust Optimization

Abstract:  The objective of Uncertainty Based Methods (UBM) is to increase the confidence and consistency in the analysis and design of systems subject to uncertainty. UBM provides a systematic approach to the characterization, propagation, decomposition and accommodation for uncertainty in mathematical models. Since the UBM's framework is discipline independent, it is specially suited for applications in multi-disciplinary environments where variable fidelity models coexist. This talk introduces basic UBM notions as well as some tools for optimization under uncertainty. Applications to controls, aircraft conceptual design, and to the verification and validation of engineering solutions will be presented.
 
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