| Robust parametrization of a model predictive controller for a CNC machining center using Bayesian optimization D Stenger, M Ay, D Abel IFAC-PapersOnLine 53 (2), 10388-10394, 2020 | 14 | 2020 |
| Multi-objective optimization of a path-following MPC for vehicle guidance: A Bayesian optimization approach A Gharib, D Stenger, R Ritschel, R Voßwinkel 2021 European Control Conference (ECC), 2197-2204, 2021 | 11 | 2021 |
| Kernel selection for support vector machines for system identification of a CNC machining center M Ay, D Stenger, M Schwenzer, D Abel, T Bergs IFAC-PapersOnLine 52 (29), 192-198, 2019 | 11 | 2019 |
| Benchmark of bayesian optimization and metaheuristics for control engineering tuning problems with crash constraints D Stenger, D Abel arXiv preprint arXiv:2211.02571, 2022 | 7 | 2022 |
| Joint constrained bayesian optimization of planning, guidance, control, and state estimation of an autonomous underwater vehicle D Stenger, M Nitsch, D Abel 2022 European Control Conference (ECC), 1982-1987, 2022 | 7 | 2022 |
| Environmentally dependent adaptive parameterization of a GNSS-aided tightly-coupled navigation filter JJ Gehrt, W Liu, D Stenger, S Liu, D Abel 2020 European navigation conference (ENC), 1-10, 2020 | 6 | 2020 |
| Grey-box approach for the prediction of variable residence time distribution in continuous pharmaceutical manufacturing A Elkhashap, R Meier, D Stenger, D Abel IFAC-PapersOnLine 53 (2), 10360-10365, 2020 | 6 | 2020 |
| Online model adaptation in cold rolling for improvement of thickness precision M Wehr, D Stenger, S Schätzler, R Beyer, D Abel, G Hirt IFAC-PapersOnLine 53 (2), 10372-10379, 2020 | 6 | 2020 |
| What is the best way to optimally parameterize the mpc cost function for vehicle guidance? D Stenger, R Ritschel, F Krabbes, R Voßwinkel, H Richter Mathematics 11 (2), 465, 2023 | 4 | 2023 |
| Safe Bayesian optimisation for controller design by utilising the parameter space approach L Dörschel, D Stenger, D Abel Learning for Dynamics and Control, 299-311, 2021 | 4 | 2021 |
| Product family design optimization using model-based engineering techniques D Stenger, LC Altherr, T Müller, PF Pelz Operations Research Proceedings 2017: Selected Papers of the Annual …, 2018 | 4 | 2018 |
| Modeling anthropogenic affected sediment transport in a mid-sized European river catchment–extension of the sediment rating curve equation S Wolf, D Stenger, F Steudtner, V Esser, F Lehmkuhl, H Schüttrumpf Modeling Earth Systems and Environment 9 (4), 3815-3835, 2023 | 3 | 2023 |
| Machine learning and metaheuristics for black-box optimization of product families: A case-study investigating solution quality vs. computational overhead D Stenger, LC Altherr, D Abel Operations Research Proceedings 2018: Selected Papers of the Annual …, 2019 | 3 | 2019 |
| Vehicle Cabin Climate MPC Parameter Tuning Using Constrained Contextual Bayesian Optimization (C-CMES) D Stenger, T Reuscher, H Vallery, D Abel 2023 IEEE 26th International Conference on Intelligent Transportation …, 2023 | 1 | 2023 |
| AutoDiagnosis: Automatic Data-Driven Configuration of an Automotive Fault Diagnosis Algorithm Using Noisy Two-Stage Optimization D Stenger, D Abel 15th European Workshop on Advanced Control and Diagnosis, 65-80, 2018 | 1 | 2018 |
| Local Bayesian optimization for controller tuning with crash constraints A von Rohr, D Stenger, D Scheurenberg, S Trimpe at-Automatisierungstechnik 72 (4), 281-292, 2024 | | 2024 |
| Automated Tuning of Nonlinear Kalman Filters for Optimal Trajectory Tracking Performance of AUVs MNDSD Abel, M Nitsch, D Stenger, D Abel | | 2023 |
| Automatic tuning of control engineering algorithms with Bayesian optimization D Stenger Dissertation, Rheinisch-Westfälische Technische Hochschule Aachen, 2023, 2023 | | 2023 |
| Automated Tuning of Nonlinear Kalman Filters for Optimal Trajectory Tracking Performance of AUVs M Nitsch, D Stenger, D Abel IFAC-PapersOnLine 56 (2), 11608-11614, 2023 | | 2023 |
| GALILEOnautic 2-Autonomes Navigieren und optimiertes Manövrieren von kooperierenden Schiffen in sicherheitskritischen Bereichen: Schlussbericht zum Vorhaben JJ Gehrt, R Zweigel, S Liu, M Nitsch, D Stenger, J Lin, M Kosch RWTH Aachen University, 2022 | | 2022 |
