System Identification - Modultafeln of TU Ilmenau
The Modultafeln have a pure informational character. The legally binding information can be found in the corresponding Studienplan and Modulhandbuch, which are served on the pages of the course offers. Please also pay attention to this legal advice (german only). Information on place and time of the actual lectures is served in the Vorlesungsverzeichnis.
|subject properties System Identification in major Master Research in Computer & Systems Engineering 2016|
|department||Department of Computer Science and Automation|
|ID of group||2211 (Automation Engineering Group)|
|subject leader||Prof. Dr. Yuri Shardt|
|on-campus program (h)||34|
|exam||written examination performance, 120 minutes|
|details of the certificate|
|Signup details for alternative examinations|
|maximum number of participants|
|previous knowledge and experience|
Lecture ‘Control Engineering’
By the end of this course, the students should be able to understand the principles of creating models for complex system using different methods and approaches, including linear and nonlinear regression, design of experiments, and time series analysis. The students should understand the system identification framework and be able to apply to relevant modelling examples.
The course content is:
1. Data Visualisation
2. Statistical Tests
3. Linear Regression
4. Nonlinear Regression
5. Design of Experiments
6. Time Series Analysis
Laboratory (2 Visits: HSS-1: Identification I; HSS-2: Identification II)
|media of instruction|
Presentations, Course notes, and Whiteboard lectures
|literature / references|
· Y.A.W. Shardt, Statistics for Chemical and Process Engineers: A Modern Approach, Springer, 2015, https://doi.org/10.1007/978-3-319-21509-9.
· L. Ljung, System Identification: Theory for the user, Prentice Hall, 1999.
|evaluation of teaching|
SS 2015 (Vorlesung)
SS 2015 (Übung)
SS 2016 (Vorlesung)
SS 2016 (Übung)
SS 2017 (Vorlesung, Übung)