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

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

von Chettapong Janya-Anurak
Softcover - 9783731506423
45,00 €
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Beschreibung

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.

Details

Verlag KIT Scientific Publishing
Ersterscheinung 04. April 2017
Maße 21 cm x 14.8 cm
Gewicht 470 Gramm
Format Softcover
ISBN-13 9783731506423
Seiten 248

Schlagwörter

Wahrscheinlichkeitsrechnung und Statistik