TY  - GEN
AU  - Janya-anurak,Chettapong
TI  - Framework for Analysis and Identification of Nonlinear Distributed Parameter Systems using Bayesian Uncertainty Quantification based on Generalized Polynomial Chaos
SN  - KSP/1000066940
PY  - 2017///
PB  - KIT Scientific Publishing
KW  - ParameterschätzungUncertainty Quantification
KW  - Parameter estimation
KW  - verteilt-parametrische Systeme
KW  - Sensitivity Analysis
KW  - generalized polynomial chaos
KW  - Distributed Parameter Systems
KW  - Sensitivitätsanalyse
KW  - Unsicherheit Quantifizierung
N1  - Open Access
N2  - 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
UR  - https://www.ksp.kit.edu/9783731506423
UR  - https://directory.doabooks.org/handle/20.500.12854/47993
ER  -