EAN: 9783731506423

FRAMEWORK FOR ANALYSIS AND IDENTIFICATION OF NO...

In this work  the Uncertainty Quantification (UQ) approaches combined systematically to analyze
and identify systems. The generalized Polynomial Chaos (gPC) expansion is applied to reduce the
computational effort. The framework using gPC based on Bayesian UQ proposed in this work is
capable of analyzing the system systematically and reducing the disagreement between the model
predictions and the measurements of the real processes to fulfill user defined performance
criteria.

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