inf5118 - Decentralised Nonlinear Model-Based Control in Digitalised Energy Systems (Course overview) - Campusmanagementsystem Stud.IP

inf5118 - Decentralised Nonlinear Model-Based Control in Digitalised Energy Systems (Course overview)

Department of Computing Science

6 KP

Module components

Semester courses Summer semester 2025

Examination

Lecture

2.01.5118 - Decentralised Nonlinear Model-Based Control in Digitalised Energy Systems
- Prof. Dr.-Ing. habil. Andreas Rauh
- Marit Lahme
- Dr.-Ing. Friederike Bruns
- Jelke Wibbeke, M. Sc.
Monday: 16:00 - 18:00, weekly (from 07/04/25), Location: V02 0-002
Friday: 14:00 - 16:00, weekly (from 11/04/25), Location: A03 2-209
Dates on Monday, 28.04.2025, Monday, 12.05.2025, Monday, 19.05.2025 08:00 - 10:00, Location: A03 2-209
1. Fundamentals of control-oriented modeling 2. Special properties of nonlinear control systems · Finite escape time · Chaos · Limit cycles · Equilibria 3. Stability properties/ Stability analysis · Local vs. global stability · Lyapunov methods · Stability of limit cycles · Criteria for the proof of instability 4. Nonlinear control design · Control Lyapunov functions · Backstepping control · Feedback linearization · Flatness-based control 5. Nonlinear observer synthesis

Exercises

2.01.5118 - Decentralised Nonlinear Model-Based Control in Digitalised Energy Systems
- Prof. Dr.-Ing. habil. Andreas Rauh
- Marit Lahme
- Dr.-Ing. Friederike Bruns
- Jelke Wibbeke, M. Sc.
Monday: 16:00 - 18:00, weekly (from 07/04/25), Location: V02 0-002
Friday: 14:00 - 16:00, weekly (from 11/04/25), Location: A03 2-209
Dates on Monday, 28.04.2025, Monday, 12.05.2025, Monday, 19.05.2025 08:00 - 10:00, Location: A03 2-209
1. Fundamentals of control-oriented modeling 2. Special properties of nonlinear control systems · Finite escape time · Chaos · Limit cycles · Equilibria 3. Stability properties/ Stability analysis · Local vs. global stability · Lyapunov methods · Stability of limit cycles · Criteria for the proof of instability 4. Nonlinear control design · Control Lyapunov functions · Backstepping control · Feedback linearization · Flatness-based control 5. Nonlinear observer synthesis

Notes on the module

Prüfungszeiten	At the end of the lecture period
Module examination	portfolio or written exam; contents of portfolio will be announced at the beginning of the lecture period
Skills to be acquired in this module	The students identify fundamentals of control and stateestimation for nonlinear systems. Professional competence The students: identify fundamentals of control and state estimation for nonlinear systems characterise problem-specific solution techniques are aware of software implementations forselected test rigs Methological competence The students: analyse problems of nonlinear control and state estimation and generalise them independently toward novel research-oriented applicationscenarios Social competence The students: develop solution ideas for real-life control problems within an accompanying project/lab course in small teams explain the obtained results inshort presentations Self competence The students: critically reflect the achieved results of their project work acknowledge limitations of various approaches fornonlinear control design.