Inhalt des Dokuments
Teaching Overview
From Fachgebiet Regelungssysteme TU Berlin
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Wichtige Hinweise
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Modulanmeldung
- Mit Ausnahme von Zusatzmodulen (BSc) erfolgt die Anmeldung aller Module des Fachgebietes Regelungssysteme über QisPos.
Aktuelle Termine
Klausurergebnisse
Results
Veranstaltungen
Wintersemester 2019/2020
Vorlesungszeitraum: 14. Oktober 2019 — 15. Februar 2020
| Typ | Titel | Leiter | LV-Nummer | |
|---|---|---|---|---|
| IV | Multivariable Control Systems | Raisch / Hans | 0430 L 052 | |
| IV | Discrete Event Systems | Raisch / Schafaschek | 0430 L 023 | |
| IV | Inertial Sensor Fusion | Seel / Laidig | 0430 L 097 | |
| IV | Zeitdiskrete Regelsysteme | Schauer | 0430 L 014 | |
| IV | Automatisierungstechnische Methoden in der Medizin | Schauer | 0430 L 015 | |
| PJ | Projektpraktikum Automatisierung | Schauer / Seel / Strenge / Riebold / Wiesener u.a. | 0430 L 032 | |
| PJ | Projekt Analyse und Synthese von Regelungssystemen | Schauer / Seel / Strenge / Riebold / Wiesener u.a. | 0430 L 029 | |
| Seminar | Moderne Regelungssysteme | Raisch et al. | 0430 L 654 | |
| WA | Regelungssysteme Diplomanden- und Doktoranden-Seminar | Raisch et al. | 0430 L 033 | |
Allgemeine Hinweise
- Abkürzungen:
LV Lehrveranstaltung IV Integrierte Veranstaltung VL Vorlesung PR Praktikum UE Übung WA Wissenschaftl. Arbeiten WS Wintersemester SS Sommersemester
Bachelor-, Masterarbeiten
Offene Arbeiten
- Bachelor thesis: "Development of a Web-Backend in context of digital health"
To enhance the efficiency of healthcare delivery and make medicine and treatment more personalized and precise, we want to develop a web solution for providing digital communication between patient and physician.
Expected skills and knowledges:
- Python programming skills
- Motivation for learning Django and web languages
Contact: Ardit Dvorani
- Master thesis: "Detection of movement disorder using Dynamic Time Warping (DTW) and Machine Learning techniques."
Dynamic Time Warping is one of the algorithms used in time series analysis to measure similarities between two signals with different dynamics. Comparing similarities measurements from DTW could be used to detect movement disorders during daily activities. The use of machine learning techniques on DTW output could determine optimal thresholds for distinguishing between normal movement and anomalies.
Expected skills and knowledges:
- Python/Matlab programming skills
- Knowledge about signal processing
Contact: Ardit Dvorani
- Master thesis: "Detection of movement disorder using Dynamic Time Warping (DTW) and Machine Learning techniques."
Dynamic Time Warping is one of the algorithms used in time series analysis to measure similarities between two signals with different dynamics. Comparing similarities measurements from DTW could be used to detect movement disorders during daily activities. The use of machine learning techniques on DTW output could determine optimal thresholds for distinguishing between normal movement and anomalies.
Expected skills and knowledges:
- Python/Matlab programming skills
- Knowledge about signal processing
Contact: Ardit Dvorani
- Bachelor's thesis: "Development of a Video and Sensor Data Alignment Tool"
For our wireless inertial sensor system it is possible to store video data and the sensor data using a smart device. But these signals are not perfectly aligned since there might be a latency during the start and stop of the video and the sensor measurement. Therefore, we would like to build up a synchronization tool in python. Based on an existing python tool you should develop an automatic synchronization method to align both measurements.
Expected skills and knowledges:
- Advanced Python programming skills
- Knowledge about video and audio signal processing.
Contact: Constantin Wiesener
- Master thesis: "Distributed Energy Management system for operational control of Microgrid."
A microgrid (MG) is a small-scale power system that clusters and manages renewable energy resources and loads within a defined geographical boundary. Microgrid has emerged as a viable architecture to tackle the challenges with high infeed of renewable energy in the future power systems. Energy management system (EMS) in the MG manages the operation control and balancing the demand with the generation. Typical EMS designs are centralised with a single unit in-charge of decision making. This approach lacks scalability, privacy and sensitive to single-point failures. This objective of this thesis is to design of a distributed EMS for operation of MG. [1]
Contact: Ajay Kumar Sampathirao
Laufende Arbeiten
Master
- Masterarbeit: Evaluation, Design and Implementation of a Collaborative Robot Workstation for preparing Electrical Components
(Bearbeiter: Tim Werken, Betreuer: Vittorio Lippi).
- Masterarbeit: Entwicklung einer zeitdiskreten Regelung zur Minimierung der Volumenstromschwankungen bei medizinischen Peristaltikpumpen
(Bearbeiter: Lennart Wiedicke, Betreuer: Thomas Schauer).
- Masterarbeit: Sensor-based Assessment of Gait and Balance Parameters as outcome Measure of tSCS Thearpy in Morbus Parkinson
(Bearbeiter: Till Thomas, Betreuer: Thomas Schauer).
- Masterarbeit: Modeling and simulation of renewable energy sources in the medium voltage grid
(Bearbeiter: Sicheng Lyu, Betreuer: Lia Strenge).
- Masterarbeit: Iterative learning control in hierarchically controlled power systems
(Bearbeiter: Xiaohan Jing, Betreuer: Thomas Seel).
- Masterarbeit: Automatic Detection of Swallow Onsets in Bioimpedance and Electromyography Measurements using Deep Neural Networks
(Bearbeiter: Gamil Farea, Betreuer: Thomas Schauer).
Bachelorarbeit
- Bachelorarbeit: Entwurf und Validierung intelligenter PID-Regler am Beispiel einer Neuroprothese
(Bearbeiter: Kilian Recher, Betreuer: Thomas Schauer).
- Bachelorarbeit: Entwurf und Validierung von Extremwertregelungen einer Neuroprothese
(Bearbeiterin: Lisa Lokstein, Betreuer: Thomas Schauer).
Abgeschlossene Arbeiten
- Masterarbeit: Development and Validation of Long-Time Stable Magnetometer-free Inertial Lower-Body Motion Tracking
(Bearbeiter: Kai Brands, Betreuer: Thomas Seel).