Framework for Analysis and Identification of Nonlinear Distributed Parameter Systems using Bayesian Uncertainty Quantification based on Generalized Polynomial Chaos formatIsbn:Softcover 9783731506423 and what they accept as the 24th ER Conference and what they accept as constituting grundlegende Erkenntnisse für die Thematik zu generieren 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 The generalized Polynomial Chaos (gPC) expansion is applied to reduce the computational effort