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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Formaat: | Elektronisch Hoofdstuk |
Taal: | Engels |
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KIT Scientific Publishing
2017
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Reeks: | 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 toegang: | DOAB: download the publication DOAB: description of the publication |
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DOAB: download the publicationDOAB: description of the publication
3rd Floor Main Library
Plaatsingsnummer: |
A1234.567 |
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Kopie 1 | Beschikbaar |