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1 Introduction: Modeling concept, types of models and examples. Comparison of mathematical modeling and system identification 1
2 Introduction: Flowchart of system identification, basic definitions and concepts 1
3 Nonparametric methods in system identification; transient, frequency response methods 2
4 Nonparametric methods in system identification; correlation and spectral analysis based methods. 2
5 Parametric methods in system identification; linear regression, the least squares estimation 3
6 The best linear unbiased estimation 3
7 Input signals 4
8 Persistent excitation 4
9 Model structures and model estimation 5
10 Prediction error methods, 6
11 Instrumental variable methods 6
12 Recursive system identification methods, system identification in closed loop 6
13 Model structure determination 7
14 Model validation 7 |