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

• Main Author: Janya-anurak, Chettapong (auth)
• Format: Electronic Book Chapter
• Language: English
• Published: KIT Scientific Publishing 2017
• Series: Karlsruher Schriften zur Anthropomatik / Lehrstuhl für Interaktive Echtzeitsysteme, Karlsruher Institut für Technologie ; Fraunhofer-Inst. für Optronik, Systemtechnik und Bildauswertung IOSB Karlsruhe
• Subjects: ParameterschätzungUncertainty Quantification; Parameter estimation; verteilt-parametrische Systeme; Sensitivity Analysis; generalized polynomial chaos; Distributed Parameter Systems; Sensitivitätsanalyse; Unsicherheit Quantifizierung
• Online Access: DOAB: download the publication; DOAB: description of the publication

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...