System Identification - Modultafeln of TU Ilmenau
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|subject properties subject number 101402 - common information|
|department||Department of Computer Science and Automation|
|ID of group||2211 (Automation Engineering Group)|
|subject leader||Prof. Dr. Yuri Shardt|
|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)
|Details in major Master Research in Computer & Systems Engineering 2012, Master Research in Computer & Systems Engineering 2016|
|subject name||System Identification|
|on-campus program (h)||34|
|exam||written examination performance, 120 minutes|
|details of the certificate|
|Signup details for alternative examinations|
|maximum number of participants|