Control Engineering - Interactive curriculae of TU Ilmenau

The interactive curriculae provide information on the degree programmes offered by the TU Ilmenau.

Please refer to the respective study and examination rules and regulations for the legally binding curricula (Annex Curriculum).

You can find all details on planned lectures and classes in the course catalogue.

Please note that this page is no longer updated. All modules and study plans from PO version 2021 onwards (Bachelor and Master study programs) are now available on the Campus Portal.

module properties Control Engineering in degree program Master Biomedical Engineering by Research 2026
module number	200007
examination number	2200637
department	Department of Computer Science and Automation
ID of group	2212 (Simulation and Optimal Processes)
module leader	Prof. Dr. Pu Li
term	winter term only
language	Englisch
credit points	5
on-campus program (h)	45
self-study (h)	105
obligation	obligatory module
exam	written examination performance, 90 minutes
details of the certificate
link to Moodle course
teacher	Prof. Dr. Li, Pu
signup details for alternative examinations
maximum number of participants
previous knowledge and experience	Grundlagen der Mathematik, Physik, Elektrotechnik, Maschinenbau
learning outcome	Die Studierenden können die Grundlagen, Problemstellungen und Methoden der Regelungs- und Systemtechnik/technische Kybernetik klassifizieren, Systembeschreibungen ableiten, Methoden zur Systemanalyse anwenden, die Stabilität sowie einschleifige Regelkreise für industrielle Prozesse analysieren. Die Studierenden haben in der Vorlesung die Theorie, Modelle und Methoden zu den genannten Sachverhalten erfahren. In den Übungen wurden sie durch Beispiele angesprochen. The students are able to classify the fundamentals, problems, and methods of control and systems engineering/technical cybernetics, derive system descriptions, apply methods of system analysis, and analyze stability and single control loops of industrial processes. The students have learned learn the theory, models, and methods of the corresponding subjects in the lectures. In the exercises, they had been activated to solve example tasks.
content	Modeling of linear processes: Modeling with differential equations Linearization of nonlinear systems State space model Laplace transformation: Laplace transformation of typical functions Properties of Laplace transformation Transfer function Analysis of control systems in time domain: Dynamics of different plants Responses due to typical input signals Functions of typical controller Stability analysis
media of instruction and technical requirements for education and examination in case of online participation	Video on Demand, Moodle-Kurs, Webex-Veranstaltungen, Folien, Skripte
literature / references	R. C. Dorf, R. H. Bishop. Modern Control Systems. Pearson. 2005 K. Ogata. Modern control engineering. Pearson. 2010
evaluation of teaching