6 citations · 7 across the 5 of their papers we have counts for
4 papers · 1 filter
Benchmark of Bayesian Optimization and Metaheuristics for Control Engineering Tuning Problems with Crash Constraints
David Stenger, Dirk Abel
Controller tuning based on black-box optimization allows to automatically tune performance-critical parameters w.r.t. mostly arbitrary high-level closed-loop control objectives. Ho…
Joint Constrained Bayesian Optimization of Planning, Guidance, Control, and State Estimation of an Autonomous Underwater Vehicle
David Stenger, Maximilian Nitsch, Dirk Abel
The performance of a guidance, navigation and control (GNC) system of an autonomous underwater vehicle (AUV) heavily depends on the correct tuning of its parameters. Our objective…
Robust Parametrization of a Model Predictive Controller for a CNC Machining Center Using Bayesian Optimization
David Stenger, Muzaffer Ay, Dirk Abel
Control algorithms such as model predictive control (MPC) and state estimators rely on a number of different parameters. The performance of the closed loop usually depends on the c…
EduBal: An open balancing robot platform for teaching control and system theory
Christian-Eike Framing, Raffael Hedinger, Emmanuel Santiago Iglesias +2
In this work we present EduBal, an educational open-source hardware and software platform for a balancing robot. The robot is designed to be low-cost, safe and easy to use by stude…