Kotyczka, P.
Discrete-time port-Hamiltonian systems and control
DMV Annual Meeting, Minisymposium “Numerical Methods for port-Hamiltonian systems”
2020

Lohmann, B.; Bechtold, T.; Eberhard, P.; Fehr, J.; Rixen, D.J.; Cruz Varona, M. ; Lerch, C.; Yuan, C.D.; Rudnyi, E.B.; Frohlich, B.; Holzwarth, P.; Grunert, D.
Model Order reduction in mechanical engineering
pp. 33-74
Model Order Reduction
De Gruyter Oldenbourg
2020

Wischnewski, A.; Betz, J.; Lohmann, B.
Real-Time Learning of Non-Gaussian Uncertainty Models for Autonomous Racing
pp. 609-615
Proceedings of the IEEE Conference on Decision and Control [59th, 2020, South Korea]
IEEE
2020

Moser, T.; Lohmann, B.
A New Riemannian Framework for Efficient H-2-Optimal Model Reduction of Port-Hamiltonian Systems
pp 5043-5049
IEEE Conference on Decision and Control (CDC)[59th, 2020]
IEEE
2020

Olcay, E.; Schuhmann, F.; Lohmann, B.
Collective Navigation of a Multi-Robot System in an Unknown Environment
Robotics and Autonomous Systems
2020
Vol. 132
Oct

Wischnewski, A.; Betz, J.; Lohmann, B.
A Model-Free Algorithm to Safely Approach the Handling Limit of an Autonomous Racecar
IEEE International Conference on Connected Vehicles and Expo (ICCVE)[2019]
IEEE
2020

Albert, K.; Phogat, K.W.; Anhalt, F.; Banavar, R.N.; Debasish, C.; Lohmann, B.
Structure-Preserving Constrained Optimal Trajectory Planning of a Wheeled Inverted Pendulum
IEEE Transactions on Robotics
2020
Vol. 36, Issue 3
Jun
pp. 910-923

Olcay, E.; Bodeit, J.; Lohmann, B.
Sensor-based exploration of an unknown area with multiple mobile agents
pp. 9621-9627
IFAC World Congress (21th]
IFAC-PapersOnLine
Elsevier
2020

Dengler, C.; Lohmann, B.
Adjustable and Adaptive Control for an Unstable Mobile Robot Using Imitation Learning with Trajectory Optimization
Robotics
2020
Vol. 9 / Issue 2
Apr

Kotyczka, P.
Structure-preserving numerical methods for port-Hamiltonian systems: Seminarvortrag
Seminar am Lehrstuhl für Thermofluiddynamik der TUM
2020