Teaching
Teaching
Overview
The Department of Distributed Control in Networked Systems offers a wide range of courses which, in addition to imparting methodological knowledge, aim to implement the content for prototypical applications of control engineering in the fields of robotics and energy technology through reference to current research projects and internships accompanying the lectures.
The Bachelor's programme currently includes the following courses
- Linear continuous and digital control (winter semester)
- Fundamentals of Computing Science (as a substitute in winter semester 2022/2023)
- "Research-based learning" project - mobile multi-agent robot system (new from winter semester 2022/2023)
- Fundamentals of control-oriented modelling (summer semester)
as well as the Master's courses
- Robust control and state estimation (winter semester)
- Control-oriented uncertainty modelling: stochastic and set-based approaches (winter semester)
- Learning control for distributed systems (summer semester)
- Decentralised nonlinear model-based control (SoSe)
- Optimal and model predictive control (SoSe)
offered.
Further details can be found in Stud.IP and below for the current semester.
Lectures
Summer term 2026
2.01.5106
Optimal and Model-Predictive Control
Winter term 2025 / 2026
2.01.5110
Practical Course (Energy Informatics)
2.01.585
Project “Research-oriented learning” – Hardware-in-the-Loop Simulation in Energy Informatics
2.01.900-B
Projektgruppe: RescueRobots