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

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

Dissertationsschrift

Език: Английски език
Корици: С меки корици
Издател: KIT Scientific Publishing
Наличност: Налично при издателя, по поръчка
Изпращаме след 17-27 дни
51.62 100.95 лв
In this work, the Uncertainty Quantification (UQ) approaches combined systematically to analyze and...

Информация за книгата

Език
Английски език
Корици
Книга - С меки корици
Издадена
2017
страници
248
EAN
9783731506423
Enbook ID
16308228
Издател
Теглоt
470
Размери
148 x 210 x 14

Пълно описание

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.