Up-to-date information will be distributed via Moodle only!
Please register for the lecture via the TUCaN system of TU Darmstadt. If you have problems accessing Moodle, please contact Hendrik Alsmeier
General Information about the Course
| Lecturer | Maik Pfefferkorn, Maziar Sharbafi, Prof. Dr.-Ing. Rolf Findeisen |
| Assistants | Hendrik Alsmeier, Sebastian Hirt |
| Semester | SoSe (2+1) |
| Teaching language | English |
| Prerequisit |
Basic concepts of control theory. Fundamentals of linear algebra, differential, and difference equations. Knowl- edge in Python and/or Matlab. |
| Form of examination |
written or oral The examination takes place in writing or orally, depending on the number of examination registrations. The form of the examination will be announced shortly after the end of the registration period. |
| Old exams | |
| Subsequent lectures | |
| Recommended literature |
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Content of the Lecture
Aim of this course
The lecture introduces the fundamental concepts of machine learning, focusing on applications in mechatronics and dynamical systems, including data-driven and hybrid modeling, simulation, monitoring, planning, decision making, optimization, and control.
Topics
- Machine learning in mechatronics and dynamical systems
- Basics of machine learning
- Review of dynamical systems with a machine learning perspective
- Machine learning from an optimization perspective
- Regression
- Clustering (regression and non-regression based)
- Support vector machines
- Gaussian processes
- Neural Networks
- Optimal control and reinforcement learning
- Safety and reliability of machine learning for dynamical systems
- Application examples from machine learning in control
