5 citations · 5 across the 3 of their papers we have counts for
3 papers
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…
Vehicle Cabin Climate MPC Parameter Tuning Using Constrained Contextual Bayesian Optimization (C-CMES)
David Stenger, Tim Reuscher, Heike Vallery +1
Climate-controlled cabins have for decades been standard in vehicles. Model Predictive Controllers (MPCs) have shown promising results in achieving temperature tracking in vehicle…
Automated Tuning of Nonlinear Kalman Filters for Optimal Trajectory Tracking Performance of AUVs
Maximilian Nitsch, David Stenger, Dirk Abel
The performance of navigation algorithms significantly determines the trajectory tracking accuracy of the guidance, navigation, and control (GNC) system of an autonomous underwater…