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Felix Häusser M.Sc.

Working area(s)

Optimal Control, Model Predictive Control, Moving Horizon Estimation, Hierarchical Control, Two-Degree of Freedom Control, Machine Learning in Control Engineering, Automated Directional Drilling

Contact

work +49 6151 16-25190
fax +49 6151 16-25172

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

Topic Type Status
Machine Learning based State Estimation for a Wind Turbine Model (opens in new tab) Project Seminar completed
Optimierung der Trainingsdatenverteilung für regressionsbasiertes maschinelles Lernen (opens in new tab) Proseminar completed
Recurrent Neural Networks for State Estimation of a Wind Turbine Model (opens in new tab) Project Seminar completed
Moving Horizon Estimation for Automated Directional Drilling (opens in new tab) Master's Thesis completed
Computationally Efficient State Estimation of a Wind Turbine Model (opens in new tab) Master's Thesis completed
Optimization of Training Data Distribution for Regression-based Machine Learning (opens in new tab) Master's Thesis completed
Developing a Modular Wind Turbine Framework with State Estimation in the HILO-MPC-Toolbox (opens in new tab) Project Seminar completed
Combining Two-Degree of Freedom Control Structures with Optimization-based or Adaptive Elements (opens in new tab) Proseminar completed
Entwicklung eines datenbasierten Ersatzmodells für die Regelung eines Dreitanks (opens in new tab) Bachelor's Thesis completed
Optimization-based Two-Degree of Freedom Controller for a Three-Tank System (opens in new tab) Bachelor's Thesis completed
State Estimation of a Wind Turbine Model using Physics Informed Neural Networks and Cascade Observers (opens in new tab) Master's Thesis in progress
Control of a Three-Tank System using Multi-Fidelity Gaussian Processes (opens in new tab) Master's Thesis in progress
Implementation of a Model Predictive Controller for a Three-Tank-System with Non-Smooth Dynamics (opens in new tab) Project Seminar in progress
Teaching Assistant for Optimal Control and Predictive Control SS 2021, SS 2022, SS 2023
Teaching Assistant for Project Course Application to Process Dynamics WS 2022/23
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