Publications related to Robust system identification and model predictions in the presence of systematic uncertainty

Vibration Serviceability Assessment for Pedestrian Bridges Based on Model Falsification

With the development of new materials and advanced structural analysis, alongside increasing aesthetic requirements, recent years have witnessed a trend toward longer, taller, and lighter footbridges. Different from vehicular bridges, footbridges carry rel ...

2021

Aerosol formation and growth rates from chamber experiments using Kalman smoothing

Lubna Dada

Bayesian state estimation in the form of Kalman smoothing was applied to differential mobility analyser train (DMA-train) measurements of aerosol size distribution dynamics. Four experiments were analysed in order to estimate the aerosol size distribution, ...

2021

Identification of optimal measurement points for energy monitoring of industrial processes: The case of milk powder production

Meaningful energy analysis of industrial processes requires the installation of energy monitoring systems. However, a lack of systematic methods for identifying the required measurement points, joint to scarce information on the related benefits, results i ...

ELSEVIER SCI LTD2021

Comparative study of the effects of three data-interpretation methodologies on the performance of geotechnical back analysis

Ian Smith

Back analysis can provide engineers with important information for better decision-making. Over the years, research on back analysis has focused mainly on optimisation techniques, while comparative studies of data-interpretation methodologies have seldom b ...

2020

Amplitude analysis for the measurement of the photon polarisation in B rightarrow K pi pi gamma decays

Violaine Bellée

This work proposes a method to measure the photon polarisation in

B^+ \rightarrow K^+ \pi^- \pi^+ \gamma

decays and prepares the necessary elements for this measurement using the data sets collected by the LHCb experiment at CERN in

2011

,

2012

, $2016 ...

EPFL2020

Bayesian regression explains how human participants handle parameter uncertainty

Michael Herzog, Jean-Pascal Théodor Pfister, Maya Anna Jastrzebowska, Mattew Pachai

Author summary How do humans make prediction when the critical factor that influences the quality of the prediction is hidden? Here, we address this question by conducting a simple psychophysical experiment in which participants had to extrapolate a parabo ...

2020

Uncertainty propagation for the design study of the PETALE experimental programme in the CROCUS reactor

Andreas Pautz, Vincent Pierre Lamirand, Dimitri Rochman, Axel Guy Marie Laureau

The PETALE experimental programme in the CROCUS reactor intends to provide integral measurements to constrain stainless steel nuclear data. This article presents the tools and the methodology developed to design and optimize the experiments, and its operat ...

2020

Uncertainty-aware Model Inversion Networks

Romain Essy Théo Gratier De Saint-Louis

In this thesis, we assess a new framework called UMIN on a data-driven optimization problem. Such a problem happens recurrently in real life and can quickly become dicult to model when the input has a high dimensionality as images for instance. From the ar ...

2020

Data assimilation of in situ and satellite remote sensing data to 3D hydrodynamic lake models: a case study using Delft3D-FLOW v4.03 and OpenDA v2.4

Alfred Johny Wüest, Damien Bouffard, Theo Baracchini

The understanding of physical dynamics is crucial to provide scientifically credible information on lake ecosystem management. We show how the combination of in situ observations, remote sensing data, and three-dimensional hydrodynamic (3D) numerical simul ...

2020

Comparison of data interpretation methodologies for geotechnical back analysis

Ian Smith

Rigorous back analysis plays a major role in providing information to engineers for better decision-making. Most research on this topic has focused on optimization techniques. Comparative studies of data interpretation methodologies have seldom been report ...

2019

Robust system identification and model predictions in the presence of systematic uncertainty

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Vibration Serviceability Assessment for Pedestrian Bridges Based on Model Falsification

Aerosol formation and growth rates from chamber experiments using Kalman smoothing

Identification of optimal measurement points for energy monitoring of industrial processes: The case of milk powder production

Comparative study of the effects of three data-interpretation methodologies on the performance of geotechnical back analysis

Amplitude analysis for the measurement of the photon polarisation in B rightarrow K pi pi gamma decays

Bayesian regression explains how human participants handle parameter uncertainty

Uncertainty propagation for the design study of the PETALE experimental programme in the CROCUS reactor

Uncertainty-aware Model Inversion Networks

Data assimilation of in situ and satellite remote sensing data to 3D hydrodynamic lake models: a case study using Delft3D-FLOW v4.03 and OpenDA v2.4

Comparison of data interpretation methodologies for geotechnical back analysis

Comparative study of the effects of three data-interpretation methodologies on the performance of geotechnical back analysis

Aerosol formation and growth rates from chamber experiments using Kalman smoothing

Bayesian regression explains how human participants handle parameter uncertainty

Identification of optimal measurement points for energy monitoring of industrial processes: The case of milk powder production

Uncertainty propagation for the design study of the PETALE experimental programme in the CROCUS reactor

Data assimilation of in situ and satellite remote sensing data to 3D hydrodynamic lake models: a case study using Delft3D-FLOW v4.03 and OpenDA v2.4

Vibration Serviceability Assessment for Pedestrian Bridges Based on Model Falsification

Uncertainty-aware Model Inversion Networks

Amplitude analysis for the measurement of the photon polarisation in B rightarrow K pi pi gamma decays

Comparison of data interpretation methodologies for geotechnical back analysis