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Alexander Rose M.Sc.

Working area(s)

Learning-supported model predictive control, MPC for embedded systems, Approximate MPC, Monte Carlo methods, Path following and trajectory tracking

Contact

work +49 6151 16-25191
fax +49 6151 16-25172

Work S3|10 511
Landgraf-Georg-Str. 4
64283 Darmstadt

Teaching assistant for Modeling, Simulation and Optimization WS23/24
Teaching assistant for Control of Distributed Cyber-Physical Systems WS22/23, SS24, SS25
Teaching assistant for Modeling and Simulation SS22, SS23
Topic Type Status
Tensor Networks for Machine Learning (opens in new tab) Proseminar open
Leader-follower Structures in a Quadcopter Swarm (opens in new tab) Project Course in progress
Formation Control of a Quadcopter Swarm (opens in new tab) Bachelor's Thesis in progress
Modellprädiktive Regelung von Quadrocoptern Bachelor's Thesis completed
Approximate Model Predictive Trajectory Tracking for an Autonomous Vehicle (opens in new tab) Master's Thesis completed
Approaches to Multi Agent Systems (opens in new tab) Proseminar completed
Explicit Model Predictive Control for Nonlinear Systems (opens in new tab) Master's Thesis completed
Catching Objects with a Robot Arm (opens in new tab) Project Course completed
Applications of the Scenario Approach (opens in new tab) Proseminar completed
Safety Guarantees for a Networked Control System under Delay and Package Loss Master's Thesis completed
Approximating Model Predictive Controllers using Neural Networks and Gaussian Processes (opens in new tab) Project Course completed
Personalized Digital Twin of the Human Driver Master's Thesis completed
Gaussian Processes for Regression and Binary Classification Proseminar completed
Design of a State Estimator for a Racecar Bachelor's Thesis completed
Predictive Control of an Inverted Pendulum (opens in new tab) Project Course completed
Fahrzeugmodell zum Entwurf eines Zustandschätzers Proseminar completed
Gaussian Process based Model Predictive Control for a PEM Fuel Cell (opens in new tab) Project Course completed
Machine Learning Methods for System Identification and Control Master's Thesis completed
Feel free to contact me for further possible topics. Please always attach an overview of your current grades.
Google Scholar
[6] R. Findeisen, A. Rose, K. Graichen and M. Mönnigmann, “Embedded Optimization in Control: An Introduction, Opportunities, and Challenges”, https://doi.org/10.1016/B978-0-443-14081-5.00129-X
[5] A. Rose, P. Schaub and R. Findeisen, “Safe and High-Performance Learning of Model Predictive Control using Kernel-Based Interpolation”, accepted, https://arxiv.org/abs/2410.06771
[4] A. Rose, M. Pfefferkorn, H. H. Nguyen and R. Findeisen, “Learning a Gaussian Process Approximation of a Model Predictive Controller with Guarantees,” 2023 62nd IEEE Conference on Decision and Control (CDC), Singapore, Singapore, 2023, pp. 4094-4099, doi: 10.1109/CDC49753.2023.10384047.
[3] J. Bethge, M. Pfefferkorn, A. Rose, J. Peters, and R. Findeisen. “Model Predictive Control with Gaussian-Process-Supported Dynamical Constraints for Autonomous Vehicles” In Proceedings of IFAC World Congress, 2023. accepted. arXiv: https://arxiv.org/abs/2303.04725
[2] L. Kranert, J. Pohlodek, S. Duvigneau, A. Rose, L. Carius, A. Kienle, and R. Findeisen, “Step experiments enable efficient exploration of microbial microaerobic steady states.”, Authorea. February 21, 2023, preprint, doi: 10.22541/au.167700378.88413405/v1.
[1] J. Pohlodek, A. Rose, B. Morabito, L. Carius, and R. Findeisen, “Data-driven Metabolic Network Reduction for Multiple Modes Considering Uncertain Measurements,” IFAC-PapersOnLine, vol. 53, no. 2, pp. 16866–16871, 2020, 21st IFAC World Congress, doi: 10.1016/j.ifacol.2020.12.1215