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Book synopsis

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.

Book details

Book category Books in English Mathematics & science Mathematics Probability & statistics

• Full title: Framework for Analysis and Identification of Nonlinear Distributed Parameter Systems using Bayesian Uncertainty Quantification based on Generalized Po
• Subtitle: Dissertationsschrift
• Author: Chettapong Janya-anurak
• Language: English
• Binding: Paperback
• Number of pages: 248
• EAN: 9783731506423
• ID: 16308228
• Publisher: KIT Scientific Publishing
• Weight: 470 g
• Dimensions: 210 × 148 × 14 mm
• Published: 2017

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