Technische Universität Ilmenau

System Identification - Modultafeln of TU Ilmenau

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module properties module number 200090 - common information
module number200090
departmentDepartment of Computer Science and Automation
ID of group2211 (Automation Engineering)
module leaderProf. Dr. Yuri Shardt
languageEnglisch
term Sommersemester
previous knowledge and experience

Knowledge in "Control Engineering I" and "Model Building"

learning outcome

By the end of this course, students should be able to understand the principles of creating models for complex processes using different methods and approaches. From the lectures, they will have learnt linear regression, nonlinear regression, design of experiments, and time series analysis, while from the laboratory, they will have learnt to apply the system identification framework to solve relevant modelling and identification problems. From the lectures and laboratories, the students should have learnt how to develop and implement solutions that require the use of statistics, linear regression, and experimental design for real-world problems. They should have learnt to constructively take criticism and implement comments and suggestions from their instructors and fellow students.

contentThe 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 and technical requirements for education and examination in case of online participation

Presentations, Course notes, and Whiteboard lectures, Skype, Moodle

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
Details reference subject
module nameSystem Identification
examination number220459
credit points5
SWS4 (2 V, 1 Ü, 1 P)
on-campus program (h)45
self-study (h)105
obligationobligatory module
examexamination performance with multiple performances
details of the certificateDas Modul System Identification mit der Prüfungsnummer 220459 schließt mit folgenden Leistungen ab:
  • schriftliche Prüfungsleistung über 120 Minuten mit einer Wichtung von 100% (Prüfungsnummer: 2200752)
  • Studienleistung mit einer Wichtung von 0% (Prüfungsnummer: 2200753)


Details zum Abschluss Teilleistung 2:

Pass for the laboratory component

alternative examination performance due to COVID-19 regulations incl. technical requirements
signup details for alternative examinations
maximum number of participants
Details in degree program Master Research in Computer & Systems Engineering 2016
module nameSystem Identification
examination number220459
credit points5
on-campus program (h)45
self-study (h)105
obligationelective module
examexamination performance with multiple performances
details of the certificateDas Modul System Identification mit der Prüfungsnummer 220459 schließt mit folgenden Leistungen ab:
  • schriftliche Prüfungsleistung über 120 Minuten mit einer Wichtung von 100% (Prüfungsnummer: 2200752)
  • Studienleistung mit einer Wichtung von 0% (Prüfungsnummer: 2200753)


Details zum Abschluss Teilleistung 2:

Pass for the laboratory component

alternative examination performance due to COVID-19 regulations incl. technical requirements
signup details for alternative examinations
maximum number of participants