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2020 – today
- 2023
[j2]Philipp Karg
, Florian Köpf, Christian Braun, Sören Hohmann:
Excitation for Adaptive Optimal Control of Nonlinear Systems in Differential Games. IEEE Trans. Autom. Control. 68(1): 596-603 (2023)- 2021
- [c7]Florian Köpf, Sean Kille, Jairo Inga, Sören Hohmann:
Adaptive Optimal Trajectory Tracking Control Applied to a Large-Scale Ball-on-Plate System. ACC 2021: 1352-1357 - [c6]Etienne Bührle, Florian Köpf, Jairo Inga, Sören Hohmann:
Adaptive Optimal Trajectory Tracking Control of Continuous-Time Systems. ECC 2021: 1987-1994 - 2020
- [j1]Florian Köpf, Johannes Westermann, Michael Flad, Sören Hohmann:
Adaptive optimal control for reference tracking independent of exo-system dynamics. Neurocomputing 405: 173-185 (2020) - [c5]Florian Köpf, Luca Puccetti, Christian Rathgeber, Sören Hohmann:
Reinforcement Learning for Speed Control with Feedforward to Track Velocity Profiles in a Real Vehicle. ITSC 2020: 1-8 - [i6]Florian Köpf, Sean Kille, Jairo Inga, Sören Hohmann:
Adaptive Optimal Trajectory Tracking Control Applied to a Large-Scale Ball-on-Plate System. CoRR abs/2010.13486 (2020)
2010 – 2019
- 2019
- [c4]Adam Kastner, Jairo Inga, Thomas Blauth, Florian Köpf, Michael Flad, Sören Hohmann:
Model-Based Control of a Large-Scale Ball-on-Plate System With Experimental Validation. ICM 2019: 257-262 - [i5]Florian Köpf, Johannes Westermann, Michael Flad, Sören Hohmann:
Reinforcement-Learning-based Adaptive Optimal Control for Arbitrary Reference Tracking. CoRR abs/1906.05085 (2019) - [i4]Florian Köpf, Alexander Nitsch, Michael Flad, Sören Hohmann:
Partner Approximating Learners (PAL): Simulation-Accelerated Learning with Explicit Partner Modeling in Multi-Agent Domains. CoRR abs/1909.03868 (2019) - [i3]Florian Köpf, Simon Ramsteiner, Michael Flad, Sören Hohmann:
Adaptive Dynamic Programming for Model-free Tracking of Trajectories with Time-varying Parameters. CoRR abs/1909.07239 (2019) - [i2]Florian Köpf, Samuel Tesfazgi, Michael Flad, Sören Hohmann:
Deep Decentralized Reinforcement Learning for Cooperative Control. CoRR abs/1910.13196 (2019) - [i1]Jairo Inga, Esther Bischoff, Florian Köpf, Michael Flad, Sören Hohmann:
Inverse Cooperative and Non-Cooperative Dynamic Games Based on Maximum Entropy Inverse Reinforcement Learning. CoRR abs/1911.07503 (2019) - 2018
- [c3]Markus Lemmer, Florian Köpf, Stefan Schwab, Michael Flad, Sören Hohmann:
Modeling of Human-Centered Cooperative Control by Means of Tracking in Discrete Time Linear Quadratic Differential Games. AIKE 2018: 156-161 - [c2]Florian Köpf, Sebastian Ebbert, Michael Flad, Sören Hohmann:
Adaptive Dynamic Programming for Cooperative Control with Incomplete Information. SMC 2018: 2632-2638 - 2017
- [c1]Jairo Inga, Florian Köpf, Michael Flad, Sören Hohmann:
Individual human behavior identification using an inverse reinforcement learning method. SMC 2017: 99-104
Coauthor Index
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