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...

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Bibliografiska uppgifter

Huvudupphov:	Janya-anurak, Chettapong
Materialtyp:	Online
Språk:	engelska
Utgiven:	KIT Scientific Publishing 2021
Ämnen:	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
Länkar:	34936
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