Chettapong Janya-anurak | Framework for Analysis and Identification of Nonlinear Distributed Parameter Systems using Bayesian Uncertainty Quantification based on Generalized Polynomial Chaos

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Chettapong Janya-anurak

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

(Karlsruher Schriften zur Anthropomatik ; 31)

AutorJanya-anurak, Chettapong

VerlagKIT Scientific Publishing, Karlsruhe

ISBN9783731506423

UmfangXIX, 210 S.

Veröffentlicht
am:04.04.2017

Erscheinungs-
jahr2017

VerfügbarkeitAktiv

Downloads:

Für Zitate bitte die folgende URL verwenden:
http://dx.doi.org/10.5445/KSP/1000066940

Abstract

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.