Framework for Analysis and Identification of Nonlinear Distributed Parameter Systems using Bayesian Uncertainty Quantification based on Generalized Polynomial Chaos

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 analy...

Full description

Bibliographic Details

Main Author:	Janya-anurak, Chettapong
Format:	Online
Language:	English
Published:	KIT Scientific Publishing 2021
Subjects:	QA75.5-76.95 ParameterschätzungUncertainty Quantification Parameter estimation verteilt-parametrische Systeme Sensitivity Analysis generalized polynomial chaos Distributed Parameter Systems Sensitivitätsanalyse Unsicherheit Quantifizierung bic Book Industry Communication::U Computing & information technology::UY Computer science
Online Access:	34936
Tags:	Add Tag No Tags, Be the first to tag this record!