2 papers
cs.CE2025
Bayesian Updating of constitutive parameters under hybrid uncertainties with a novel surrogate model applied to biofilms
Lukas Fritsch, Hendrik Geisler, Jan Grashorn +5
Accurate modeling of bacterial biofilm growth is essential for understanding their complex dynamics in biomedical, environmental, and industrial settings. These dynamics are shaped…
eess.SP2024
Transport Map Coupling Filter for State-Parameter Estimation
Jan Grashorn, Matteo Broggi, Ludovic Chamoin +1
Many dynamical systems are subjected to stochastic influences, such as random excitations, noise, and unmodeled behavior. Tracking the system's state and parameters based on a phys…