Skripte für AD Praktikumsversuche

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

Lecture:

Prof. Dr.-Ing. Sebastian Engell
Wednesday,  08:30 -10:00, BCI/ZE 07

Tutorial:

M.Sc. Lukas MaxeinerM.Sc. Anwesh Reddy Gottu Mukkula, M.Sc. Corina Nentwich,
Thursdays, 15:45-17:15, Room:  ZE07/ PC-Pool 1/3