6 citations · 6 across the 7 of their papers we have counts for
7 papers
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…
What is the Best Way to Optimally Parameterize the MPC Cost Function for Vehicle Guidance?
David Stenger, Robert Ritschel, Felix Krabbes +2
Model predictive control (MPC) is a promising approach for the lateral and longitudinal control of autonomous vehicles. However, the parameterization of the MPC with respect to hig…
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…
Multi-Objective Optimization of a Path-following MPC for Vehicle Guidance: A Bayesian Optimization Approach
Ali Gharib, David Stenger, Robert Ritschel +1
This paper tackles the multi-objective optimization of the cost functional of a path-following model predictive control for vehicle longitudinal and lateral control. While the inhe…