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2020 – today
- 2025
[c5]Sebastian Hirt, Andreas Höhl, Johannes Pohlodek, Joachim Schaeffer, Maik Pfefferkorn, Richard D. Braatz, Rolf Findeisen:
Safe Learning-Based Optimization of Model Predictive Control: Application to Battery Fast-Charging. ACC 2025: 2817-2822- [c4]Sebastian Hirt, Lukas Theiner, Maik Pfefferkorn, Rolf Findeisen:
A Hierarchical Surrogate Model for Efficient Multi-Task Parameter Learning in Closed-Loop Control. CDC 2025: 4578-4585 - [c3]Arjang Ahmadi, Vahid Firouzi, Dennis Haufe, Sebastian Hirt, André Seyfarth, Gregory S. Sawicki, Rolf Findeisen, Maziar Ahmad Sharbafi:
Towards Real-Time Personalized Control in Wearable Robotics: A Hierarchical Architecture for Lower-Limb Assistance. CDC 2025: 5411-5418 - [c2]Lukas Theiner
, Sebastian Hirt, Alexander Steinke, Rolf Findeisen:
Exploiting Prior Knowledge in Preferential Learning of Individualized Autonomous Vehicle Driving Styles. ECC 2025: 2217-2222 - [i8]Lukas Theiner, Sebastian Hirt, Alexander Steinke, Rolf Findeisen:
Exploiting Prior Knowledge in Preferential Learning of Individualized Autonomous Vehicle Driving Styles. CoRR abs/2503.15407 (2025) - [i7]Sebastian Hirt, Lukas Theiner, Maik Pfefferkorn, Rolf Findeisen:
A Hierarchical Surrogate Model for Efficient Multi-Task Parameter Learning in Closed-Loop Control. CoRR abs/2508.12738 (2025) - [i6]Sebastian Hirt, Valentinus Suwanto, Hendrik Alsmeier, Maik Pfefferkorn, Rolf Findeisen:
High-Dimensional Surrogate Modeling for Closed-Loop Learning of Neural-Network-Parameterized Model Predictive Control. CoRR abs/2512.11705 (2025) - 2024
- [c1]Sebastian Hirt, Maik Pfefferkorn, Rolf Findeisen:
Safe and Stable Closed-Loop Learning for Neural-Network-Supported Model Predictive Control. CDC 2024: 4764-4770 - [i5]Sebastian Hirt, Andreas Höhl, Joachim Schaeffer, Johannes Pohlodek, Richard D. Braatz, Rolf Findeisen:
Learning Model Predictive Control Parameters via Bayesian Optimization for Battery Fast Charging. CoRR abs/2404.06125 (2024) - [i4]Sebastian Hirt, Maik Pfefferkorn, Ali Mesbah, Rolf Findeisen:
Stability-informed Bayesian Optimization for MPC Cost Function Learning. CoRR abs/2404.12187 (2024) - [i3]Sebastian Hirt, Maik Pfefferkorn, Rolf Findeisen:
Safe and Stable Closed-Loop Learning for Neural-Network-Supported Model Predictive Control. CoRR abs/2409.10171 (2024) - [i2]Sebastian Hirt, Andreas Höhl, Johannes Pohlodek, Joachim Schaeffer, Maik Pfefferkorn, Richard D. Braatz, Rolf Findeisen:
Safe Learning-Based Optimization of Model Predictive Control: Application to Battery Fast-Charging. CoRR abs/2410.04982 (2024) - [i1]Sebastian Hirt, Lukas Theiner, Rolf Findeisen:
Time-Series-Informed Closed-loop Learning for Sequential Decision Making and Control. CoRR abs/2412.02423 (2024)
Coauthor Index
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