Poster (4)
2020
Poster
Learning block-oriented nonlinear models of dynamical systems from data. Workshop on Algorithms for Dimension and Complexity Reduction, ICERM, Providence, RI, USA (2020)
2018
Poster
The Loewner frame-work between compression, iteration and optimal selection. Model Order Reduction Summer School, Hamburg, Germany (2018)
Thesis - PhD (1)
2023
Thesis - PhD
Data-driven System Reduction and Identification from Input-Output Time-Domain Data with the Loewner Framework. Dissertation, Otto-von-Guericke Universität, Magdeburg (2023)
Preprint (8)
2024
Preprint
Data-driven quadratic modeling in the Loewner framework from input-output time-domain measurements. (2024)
2022
Preprint
Data-driven approximation and reduction from noisy data in matrix pencil frameworks. (2022)
2021
Preprint
Factorization of the Loewner matrix pencil and its consequences. (2021)
2020
Preprint
Rational approximation of the absolute value function from measurements: a numerical study of recent methods. (2020)
2019
Preprint
A Koopman-based Framework for Forecasting the Spatiotemporal Evolution of Chaotic Dynamics with Nonlinearities Modeled as Exogenous Forcings. (2019)
2018
Preprint
Data-driven Spatio-temporal Prediction of High-dimensional Geophysical Turbulence using Koopman Operator Approximation. (2018)
2017
Preprint
Approximation of a damped Euler-Bernoulli beam model in the Loewner framework. (2017)
Preprint
Case study: Approximations of the Bessel Function. (2017)