Framework for Analysis and Identification of Nonlinear Distributed Parameter Systems using Bayesian Uncertainty Quantification based on Generalized Polynomial Chaos
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 analy...
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| Format: | Electronic Book Chapter |
| Language: | English |
| Published: |
KIT Scientific Publishing
2017
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| Series: | Karlsruher Schriften zur Anthropomatik / Lehrstuhl für Interaktive Echtzeitsysteme, Karlsruher Institut für Technologie ; Fraunhofer-Inst. für Optronik, Systemtechnik und Bildauswertung IOSB Karlsruhe
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| Online Access: | DOAB: download the publication DOAB: description of the publication |
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| 020 | |a 9783731506423 | ||
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| 024 | 7 | |a 10.5445/KSP/1000066940 |c doi | |
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| 042 | |a dc | ||
| 100 | 1 | |a Janya-anurak, Chettapong |4 auth | |
| 245 | 1 | 0 | |a Framework for Analysis and Identification of Nonlinear Distributed Parameter Systems using Bayesian Uncertainty Quantification based on Generalized Polynomial Chaos |
| 260 | |b KIT Scientific Publishing |c 2017 | ||
| 300 | |a 1 electronic resource (XIX, 210 p. p.) | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 490 | 1 | |a Karlsruher Schriften zur Anthropomatik / Lehrstuhl für Interaktive Echtzeitsysteme, Karlsruher Institut für Technologie ; Fraunhofer-Inst. für Optronik, Systemtechnik und Bildauswertung IOSB Karlsruhe | |
| 506 | 0 | |a Open Access |2 star |f Unrestricted online access | |
| 520 | |a 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. | ||
| 540 | |a Creative Commons |f https://creativecommons.org/licenses/by-sa/4.0/ |2 cc |4 https://creativecommons.org/licenses/by-sa/4.0/ | ||
| 546 | |a English | ||
| 653 | |a ParameterschätzungUncertainty Quantification | ||
| 653 | |a Parameter estimation | ||
| 653 | |a verteilt-parametrische Systeme | ||
| 653 | |a Sensitivity Analysis | ||
| 653 | |a generalized polynomial chaos | ||
| 653 | |a Distributed Parameter Systems | ||
| 653 | |a Sensitivitätsanalyse | ||
| 653 | |a Unsicherheit Quantifizierung | ||
| 856 | 4 | 0 | |a www.oapen.org |u https://www.ksp.kit.edu/9783731506423 |7 0 |z DOAB: download the publication |
| 856 | 4 | 0 | |a www.oapen.org |u https://directory.doabooks.org/handle/20.500.12854/47993 |7 0 |z DOAB: description of the publication |