3 papers
cs.NI2025
In-Situ Model Validation for Continuous Processes Using In-Network Computing
Ike Kunze, Dominik Scheurenberg, Liam Tirpitz +2
The advancing industrial digitalization enables evolved process control schemes that rely on accurate models learned through data-driven approaches. While they provide high control…
eess.SY2025
Early Stopping Bayesian Optimization for Controller Tuning
David Stenger, Dominik Scheurenberg, Heike Vallery +1
Manual tuning of performance-critical controller parameters can be tedious and sub-optimal. Bayesian Optimization (BO) is an increasingly popular practical alternative to automatic…
eess.SY2024
Local Bayesian Optimization for Controller Tuning with Crash Constraints
Alexander von Rohr, David Stenger, Dominik Scheurenberg +1
Controller tuning is crucial for closed-loop performance but often involves manual adjustments. Although Bayesian optimization (BO) has been established as a data-efficient method…