Identification of simple models from step responses. Parameter
identification: Basic idea, mathematical description of sampled systems,
ARX, 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.
- Lehrende:r: Pourya Azadi
- Lehrende:r: Filippo Tamagnini
- Lehrende:r: Joschka Winz