M.Sc. Thomas Meinlschmidt
Wissenschaftlicher Mitarbeiter
Kontakt
Universität Rostock
Lehrstuhl für Mechatronik
Justus-von-Liebig-Weg 6
18059 Rostock
Kontaktinformationen können ggf. vom Sekretariat bereitgestellt werden.
Publikationen
Publikationen
2014
- Meinlschmidt, Thomas; Aschemann, Harald: Cascaded Backstepping Control of a Duocopter Including Disturbance Compensation by Unscented Kalman Filtering. IEEE 2nd International Conference on Control, Decision and Information Technologies CoDIT 2014, Metz, France, 2014.
- Meinlschmidt, Thomas; Aschemann, Harald: Cascaded Flatness-Based Control of a Duocopter Subject to Unknown Disturbances. IEEE Intl. Conference on Methods and Models in Automation and Robotics MMAR 2014, Miedzyzdroje, Poland, 2014.
- Sun, Hao; Meinlschmidt, Thomas; Aschemann, Harald: Passivity-Based Control of a Hydrostatic Transmission with Unknown Disturbances. IEEE Intl. Conference on Methods and Models in Automation and Robotics MMAR 2014, Miedzyzdroje, Poland, 2014.
- Sun, Hao; Meinlschmidt, Thomas; Aschemann, Harald: Comparison of two Nonlinear Model Predictive Control Strategies with Observer-Based Disturbance Compensation for a Hydrostatic Transmission. IEEE Intl. Conference on Methods and Models in Automation and Robotics MMAR 2014, Miedzyzdroje, Poland, 2014.
- Sun, Hao; Meinlschmidt, Thomas; Aschemann, Harald: Optimal Tracking Control with Observer-Based Disturbance Compensation for a Hydrostatic Transmission. IEEE Multi-conference on Systems and Control MSC 2014, Antibes, France, 2014.
- Sun, Hao; Meinlschmidt, Thomas; Aschemann, Harald: Nonlinear Model Predictive Control for a Hydrostatic Drive Train with Unknown Disturbances. 8th European Nonlinear Dynamics Conference, ENOC 2014, Vienna, Austria.
- Aschemann, Harald; Sun, Hao; Meinlschmidt, Thomas: An Experimental Study of Extended Linearisation Approaches for a Hydrostatic Drive Train with Unknown Disturbances. 13th European Control Conference, ECC 2014, Strasbourg, France.
- Aschemann, Harald; Meinlschmidt, Thomas; Sun, Hao: An Experimental Study of Decentralised Backstepping Approaches for a Hydrostatic Drive Train with Unknown Disturbances. American Control Conference, ACC 2014, Portland, USA.