Teaching
Automatic control is the science of the systematically steering dynamic systems such that controlled variables follow given references, and thus lead to autonomous behavior. The following set of courses offered by the institute introduce students into fundamental and advanced principles of automatic control and into mathematical models required for controller design.
Overview of the courses
Lectures
- State Space Representations of Technical Systems (TSZ)
- Linear Control Systems (LRS)
- Optimization Methods (OPT)
- Adaptive and Predictive Control (APR)
- Hybrid and Cyberphysical Control Systems (HCCS)
- Nonlinear Control Systems (NRS)
- Repetitorium for Fundamentals of Control (GRT)
- Matlab Programming (MGL)
- Lab Fundamental Control Design (PRT)
- Lab Advanced Control Design (PRS)
- Seminar Control and System Theory (SRS)
- Control Design Project (PARS)
- Bachelor / Master Thesis (BAMA)
- Fundamentals of Control (GRT)
- Discrete Event-Systems and Control (DESC)
- Automation and Systems (AUS)
- Linear Optimal Control (LOR)
- Advanced Control for Mechatronics (HRM)
- Robust and Optimal Control (ROR)
- Repetitorium for Technical Systems in State Space (TSZ)
- Lab Fundamental Control Design (PRT)
- Lab Advanced Control Design (PRS)
- Seminar Control and System Theory (SRS)
- Control Design Project (PARS)
- Bachelor / Master Thesis (BAMA)