David Stenger

According to our database, David Stenger authored at least 12 papers between 2017 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Local Bayesian optimization for controller tuning with crash constraints.

Alexander von Rohr, David Stenger, Dominik Scheurenberg, Sebastian Trimpe

Autom., April, 2024

2023

Automated Tuning of Nonlinear Kalman Filters for Optimal Trajectory Tracking Performance of AUVs.

Maximilian Nitsch, David Stenger, Dirk Abel

CoRR, 2023

Vehicle Cabin Climate MPC Parameter Tuning Using Constrained Contextual Bayesian Optimization (C-CMES).

David Stenger, Tim Reuscher, Heike Vallery, Dirk Abel

Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

2022

What is the Best Way to Optimally Parameterize the MPC Cost Function for Vehicle Guidance?

David Stenger, Robert Ritschel, Felix Krabbes, Rick Voßwinkel, Hendrik Richter

CoRR, 2022

Benchmark of Bayesian Optimization and Metaheuristics for Control Engineering Tuning Problems with Crash Constraints.

David Stenger, Dirk Abel

CoRR, 2022

Joint Constrained Bayesian Optimization of Planning, Guidance, Control, and State Estimation of an Autonomous Underwater Vehicle †.

David Stenger, Maximilian Nitsch, Dirk Abel

Proceedings of the European Control Conference, 2022

2021

Safe Bayesian Optimisation for Controller Design by Utilising the Parameter Space Approach.

Lorenz Dörschel, David Stenger, Dirk Abel

Proceedings of the 3rd Annual Conference on Learning for Dynamics and Control, 2021

Multi-Objective Optimization of a Path-following MPC for Vehicle Guidance: A Bayesian Optimization Approach.

Ali Gharib, David Stenger, Robert Ritschel, Rick Voßwinkel

Proceedings of the 2021 European Control Conference, 2021

2020

Robust Parametrization of a Model Predictive Controller for a CNC Machining Center Using Bayesian Optimization.

David Stenger, Muzaffer Ay, Dirk Abel

CoRR, 2020

Environmentally Dependent Adaptive Parameterization of a GNSS-aided Tightly-Coupled Navigation Filter.

Jan-Jöran Gehrt, Wenyi Liu, David Stenger, Shuchen Liu, Dirk Abel

Proceedings of the European Navigation Conference, 2020

2018

Machine Learning and Metaheuristics for Black-Box Optimization of Product Families: A Case-Study Investigating Solution Quality vs. Computational Overhead.

David Stenger, Lena C. Altherr, Dirk Abel

Proceedings of the Operations Research Proceedings 2018, 2018

2017

Product Family Design Optimization Using Model-Based Engineering Techniques.

David Stenger, Lena C. Altherr, Tankred Müller, Peter F. Pelz

Proceedings of the Operations Research Proceedings 2017, 2017