Fadi Snobar, M.Sc.
Fadi Snobar, M.Sc.
Research Interests
- State estimation in motor vehicle power-trains
- Machine learning methods in automatic control
Biography
- Since September 2021: Research associate, Chair of Automatic Control, Friedrich-Alexander-Universität Erlangen-Nuremberg (FAU)
- 2019-2021: M.Sc. in Mechatronics, Friedrich-Alexander-Universität Erlangen-Nuremberg (FAU)
- 2015-2019: B.Eng. in Mechatronics, Deggendorf University of Applied Sciences
Publications
2024
- Snobar, F., Michalka, A., Horn, M., Strohmeyer, C., & Graichen, K. (2024). Sensitivity-based moving horizon estimation of road friction. In Proceedings of the European Control Conference (pp. 718-724). Stockholm (Sweden).
2023
- Snobar, F., Michalka, A., Horn, M., Strohmeyer, C., & Graichen, K. (2023). Rack force estimation from standstill to high speeds by hybrid model design and blending. In Proceedings of the IEEE International Conference on Mechatronics (ICM 2023). Loughborough (UK).
2022
- Snobar, F., Reinhard, J., Huber, H., Hoffmann, M., Stelzig, M., Vossiek, M., & Graichen, K. (2022). FOV-based model predictive object tracking for quadcopters. In Proceedings of the 9th IFAC Symposium on Mechatronic Systems (Mechatronics 2022) (pp. 13 - 18). Los Angeles, CA (USA).
Open theses
Current and completed theses
- Road friction estimation during stationary steering maneuvers
- Code implementation in Simulink
- Robustness and sensitivity analysis of vehicle lateral dynamics (MA)
- Vergleich von Kalman-Filter-Methoden zur Schätzung der Zahnstangenkraft im Steer-by-Wire-System (MA)
- Datenbasierte Zahnstangenkraftschätzung eines Steer-by-Wire-Systems (MA)
- Schnittstellenentwicklung und modellpräktive Regelung zur Inbetriebnahme eines Quadrokopters (MA)