2 papers
math.OC2026
Uncertainty Quantification Methods for Optimal Excitation Design in Parameter Identification
Kevin Schmidt, Nicola Henkelmann, Christoph Mark +1
Parameter identification is crucial in virtual engineering processes, yet determining appropriate system excitations for identifying specific parameters remains challenging. In pra…
cs.CE2024
Knowledge-based model validation using a custom metric
Nicola Henkelmann, Stephan Rhode, Johannes von Keler
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…