arXiv subjects

Johannes von Keler

Publications and source records attributed to Johannes von Keler.

5 recordsLinked to original sources

arXiv2026

Uncertainty Quantification Methods for Optimal Excitation Design in Parameter Identification

Parameter identification is crucial in virtual engineering processes, yet determining appropriate system excitations for identifying specific parameters remains challenging. In practice, extensive experimental programs often fail to generate data with sufficient information content for reliable parameter estimation. This work presents a systematic approach for deriving optimal excitations by maximizing the global sensitivity of target parameters across the space of possible excitation functions. To address the computational challenge of sensitivity evaluation during optimization, we develop two complementary approaches based on uncertainty quantification (UQ) methods. For systems with known mathematical structure, we present an intrusive polynomial chaos expansion (PCE) method that constructs deterministic surrogate models, enabling rapid sensitivity computation. For black-box models where intrusive approaches are not feasible, we introduce a novel non-intrusive method based on optimal transport theory, specifically using Wasserstein distances to quantify sensitivity measures without requiring knowledge of internal system dynamics. Both methods significantly reduce computational costs, making optimal excitation design practical for complex engineering systems. We demonstrate the effectiveness of both approaches on vehicle dynamics models, showing substantial improvements in parameter identification capability. The benefit for parameter identification is further validated experimentally on a test vehicle and compared to the state of the art.

math.OC↗

arXiv2024

Knowledge-based model validation using a custom metric

Vehicle models have a long history of research and as of today are able to model the involved physics in a reasonable manner. However, each new vehicle has its new characteristics or parameters. The identification of these is the main task of an engineer. To validate whether the correct parameter set has been chosen is a tedious task and often can only be performed by experts. Metrics known commonly used in literature are able to compare different results under certain aspects. However, they fail to answer the question: Are the models accurate enough? In this article, we propose the usage of a custom metric trained on the knowledge of experts to tackle this problem. Our approach involves three main steps: first, the formalized collection of subject matter experts' opinion on the question: Having seen the measurement and simulation time series in comparison, is the model quality sufficient? From this step, we obtain a data set that is able to quantify the sufficiency of a simulation result based on a comparison to corresponding experimental data. In a second step, we compute common model metrics on the measurement and simulation time series and use these model metrics as features to a regression model. Third, we fit a regression model to the experts' opinions. This regression model, i.e., our custom metric, can than predict the sufficiency of a new simulation result and gives a confidence on this prediction.

cs.CE↗

arXiv2016

The NLS limit for bosons in a quantum waveguide

We consider a system of $N$ bosons confined to a thin waveguide, i.e.\ to a region of space within an $\varepsilon$-tube around a curve in $\mathbb{R}^3$. We show that when taking simultaneously the NLS limit $N\to \infty$ and the limit of strong confinement $\varepsilon\to 0$, the time-evolution of such a system starting in a state close to a Bose-Einstein condensate is approximately captured by a non-linear Schrödinger equation in one dimension. The strength of the non-linearity in this Gross-Pitaevskii type equation depends on the shape of the cross-section of the waveguide, while the "bending" and the "twisting" of the waveguide contribute potential terms. Our analysis is based on an approach to mean-field limits developed by Pickl.

math-ph↗

arXiv2014

Mean Field Limits in Strongly Confined Systems

We consider the dynamics of $N$ interacting bosons in three dimensions which are strongly confined in one or two directions. We analyze the two cases where the interaction potential $w$ is rescaled by either $N^{-1}w(\cdot)$ or $a^{3θ-1}w(a^θ\cdot)$ and choose the initial wavefunction to be close to a product wavefunction. For both scalings we prove that in the mean field limit $N\rightarrow \infty $ the dynamics of the $N$-particle system are described by a nonlinear equation in one or two dimensions. In the case of the scaling $N^{-1}w(\cdot)$ this equation is the Hartree equation and for the scaling $a^{3θ-1}w(a^θ\cdot) $ the nonlinear Schrödinger equation. In both cases we obtain explicit bounds for the rate of convergence of the $N$-particle dynamics to the one-particle dynamics.

math-ph↗

arXiv2012

Non-adiabatic transitions in a massless scalar field

We consider the dynamics of a massless scalar field with time-dependent sources in the adiabatic limit. This is an example of an adiabatic problem without spectral gap. The main goal of our paper is to illustrate the difference between the error of the adiabatic approximation and the concept of non-adiabatic transitions for gapless systems. In our example the non-adiabatic transitions correspond to emission of free bosons, while the error of the adiabatic approximation is dominated by a velocity-dependent deformation of the ground state of the field. In order to capture these concepts precisely, we show how to construct super-adiabatic approximations for a gapless system.

math-ph↗