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Data-based Dynamic Modeling

Summer term 2020

News

 Welcome to the DBDM Course for this semester!

Content

 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.

E-Learning platform Moodle

You can find further information, all announcements, and course materials for the DBDM summer term 2020 course in MOODLE


Lecture

Prof. Dr.-Ing. Sebastian Engell

Time

Wednesday,  08:30 -10:00

Lectures are given from the 03.06.2020 until the 15.07.2020 every week.

Building

CT Zentralbereich

Room

SR ZE 07


Tutorials

M.Sc. Stefanie Kaiser

M.Sc. Pourya Azadi

Please check the moodle page for updates regarding possible time-shifts, that might occur!

Time

Thursdays, 15:45-17:15

Tutorials are given from the 04.06.2020 until the 16.07.2019 every week.

Building

CT Zentralbereich

Room

ZE07/ PC-Pool 1



Sub content

Contact

Prof. Dr.-Ing. Sebastian Engell
Tel.: 0231 755-5126
M.Sc. Stefanie Kaiser
Tel.: 0231 755-5165
M.Sc. Pourya Azadi
Tel.: 0231 755-6092