Framework for Analysis and Identification of Nonlinear Distributed Parameter Systems using Bayesian Uncertainty Quantification based on Generalized Polynomial Chaos is popular PDF and ePub book, written by Janya-anurak, Chettapong in 2017-04-04, it is a fantastic choice for those who relish reading online the Electronic computers. Computer science genre. Let's immerse ourselves in this engaging Electronic computers. Computer science book by exploring the summary and details provided below. Remember, Framework for Analysis and Identification of Nonlinear Distributed Parameter Systems using Bayesian Uncertainty Quantification based on Generalized Polynomial Chaos can be Read Online from any device for your convenience.
Framework for Analysis and Identification of Nonlinear Distributed Parameter Systems using Bayesian Uncertainty Quantification based on Generalized Polynomial Chaos Book PDF Summary
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.
Detail Book of Framework for Analysis and Identification of Nonlinear Distributed Parameter Systems using Bayesian Uncertainty Quantification based on Generalized Polynomial Chaos PDF
- Author : Janya-anurak, Chettapong
- Release : 04 April 2017
- Publisher : KIT Scientific Publishing
- ISBN : 9783731506423
- Genre : Electronic computers. Computer science
- Total Page : 248 pages
- Language : English
- PDF File Size : 8,7 Mb
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