Course Contents
aim of modeling, theoretical modeling by application of fundamental physical laws, generalized network analysis, modeling of distributed parameter systems, model reduction, linearization, order reduction, digital simulation of linear systems, numerical integration methods
Literature
Lecture notes Konigorski: "Modellbildung und Simulation",
Lunze: „Regelungstechnik 1 und 2“,
Föllinger: „Regelungstechnik: Einführung in die Methoden und ihre Anwendung“
Preconditions
Basic knowledge of continuous- and discrete-time control theory. Supplementary lectures are “System Dynamics and Control Systems I and II” as well as “Digital Control Systems I and II”.
aim of modeling, theoretical modeling by application of fundamental physical laws, generalized network analysis, modeling of distributed parameter systems, model reduction, linearization, order reduction, digital simulation of linear systems, numerical integration methods
Literature
Lecture notes Konigorski: "Modellbildung und Simulation",
Lunze: „Regelungstechnik 1 und 2“,
Föllinger: „Regelungstechnik: Einführung in die Methoden und ihre Anwendung“
Preconditions
Basic knowledge of continuous- and discrete-time control theory. Supplementary lectures are “System Dynamics and Control Systems I and II” as well as “Digital Control Systems I and II”.
- Lehrende: Rolf Findeisen
- Lehrende: Andreas Himmel
- Lehrende: Eric Lenz
- Lehrende: Johannes Pohlodek
- Lehrende: Alexander Rose
- Lehrende: Lukas Theiner
Semester: ST 2023