Lehrinhalte
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[*]Important topics of signal processing and stochastics
[*]Disturbance and excitation signals
[*]Identification of linear systems
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[*]Non-parametric identification (Frequency response estimation)
[*]Parametric identification (Characteristic values, Output error and equation error minimization, Subspace method, Kalman filter)
[*]Recursive methods
[*]Closed loop identification
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[*]Basics of data-driven modelling of non-linear systems
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[*]Implementation in Matlab, numerous examples with real experimental data
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Literature
Isermann, R.; Münchhof, M.: Identification of Dynamic Systems. Springer, Berlin, 2011.
Ljung, L.:  System Identification: Theory for the user. Prentice Hall information and systems sciences series. Prentice Hall PTR, Upper Saddle River NJ, 2. edition, 1999.
Pintelon, R.; Schoukens, J.: System Identification: A Frequency Domain Approach. IEEE Press, New York, 2001.

Voraussetzungen
Fundamentals in the area of controls engineering (e.g. lecture “System Dynamics and Control Systems II”)

Semester: WT 2021/22