eventDynamical systems [Dynamische Systeme] (V/Ü)
person Paolo Mercorelli, Rainer Meyer

Next appointment: The course starts right now in room C 40.106 Konrad-Zuse-Raum.

Dates

every 14 days | Friday | 08:15 - 09:45 | 06.04.2026 - 10.07.2026 | C 40.106 Konrad-Zuse-Raum
weekly | Friday | 10:15 - 11:45 | 06.04.2026 - 10.07.2026 | C 40.106 Konrad-Zuse-Raum

Curriculum context

Written academic performance under supervision (90 Minutes)
Handwritten in examination rooms at Leuphana
Date of assessment: Friday, 24.07.2026, 08:15, room C HS 3
Resit date: : Keine selbständige Anmeldung zum Wiederholungstermin möglich. info_outline
Friday, 18.09.2026, 08:15, room C HS 3
Anzeige von Anmeldebeginn und -ende systembedingt. Selbständige Anmeldung nur zum Prüfungstermin und nicht zum Wiederholungstermin möglich.

Organizational information

Lecture/Exercise
max. 2 von 14 Sitzungen (~14%) online synchron
3
central procedure for assignment of remaining places (with participant limit)
30

Registration

central procedure for assignment of remaining places (with participant limit)

Registration ends 07.4.2026 at 23:59 h

Content

Englisch
Dynamische Systeme
none

The module covers necessary mathematical foundations (deepening of ordinary differential equations, Fourier, Laplace, and Z-transformations) and imparts knowledge of properties of dynamic systems (continuous, discrete, static, dynamic, autonomous, controlled). In addition, the module covers topics such as modeling, stability and convergence analysis, behavior, and simulation of continuous and discrete systems. Aspects such as modeling, observability, and controllability of dynamic systems, stability criteria, transfer functions, stability analysis of root locus, controller design through pole placement, and classic (P, I, PD, PI, PID) and cascade controllers are also covered. The module's contribution to digitization and Industry 4.0 lies mainly in the area of discrete control systems.

The students deepen their mathematical knowledge, particularly in the areas of ordinary differential equations, Fourier, Laplace, and Z-transformations, and gain the ability to simulate the behavior of continuous and discrete systems. The module also fosters the ability to reflect on and evaluate work results and highly promotes the analytical and abstraction skills of the students.

Creditpoints: 5
Dauer und Häufigkeit des Angebots: Jährlich im Sommersemester

Evaluation

This course has not been registered for teaching evaluation yet.

Further information on teaching evaluation: https://www.leuphana.de/en/teaching/quality-management/feedback-instruments.html

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