معلومات المقرر

Digitale Lehre
All information regarding e-learning can be found in the moodle course of the lecture.

Lehrinhalte
[list]
[*]Introduction into the determination of mathematical process models based on measured data
[*]Theoretical and experimental modeling of dynamic systems
[*]System identification using continuous time signals:
[list]
[*]Aperiodic signals
[list]
[*]Fourier analysis
[*]Evaluation of characteristic values (stepresponses)
[/list]
[*]Periodic signals
[list]
[*]Frequency response analysis
[*]Correlation analysis
[/list]
[/list]
[*]System identification using discrete time signals:
[list]
[*]Deterministic and stochastic signals
[*]Basics in estimation theory
[*]Correlation analysis
[/list]
[*]Parameter estimation techniques:
[list]
[*]Least-squares estimation
[*]Model structure determination
[*]Recursive estimation algorithms
[/list]
[*]Kalman Filter and Extended Kalman Filter
[*]Numerical Methods
[*]Implementation under MatLab Numerous examples with real experimental data
[/list]

Literatur
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”)

Online-Angebote
moodle