Welcome to the DBDM Course for this semester!
Identification of simple models from step responses. Parameter identification: Basic idea, mathematical description of sampled systems, AXR, ARMAX and OE estimation. Modeling using nonlinear black box models (perceptron neural nets, radial-basis-function nets), training, dynamic models, quality of neural net models. Model errors: Sources of errors, limits of model accuracy, model accuracy and controller performance.
You can find further information, all announcements, and course materials for the DBDM summer term 2021 course in MOODLE
Prof. Dr.-Ing. Sebastian Engell
Wednesday, 08:30 -10:00
Lectures are given online from the 09.06.2021 until 21.07.2021 every week.
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Please check the moodle page for updates regarding possible time-shifts, that might occur!
Thursdays, 16:00-17:30
Tutorials are given online from the 10.06.2021 until 22.07.2021 every week.
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