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Higher education teachers: Blažič Sašo, Matko Drago
System analysis classification, algorithm division, signal analysis (excitation and disturbance signals), the area of use.
Simple methods:
- Strejc method (based on a step response),
- Åström method with a relay in a closed-loop,
- model adaptation method.
Least squares method, regression method, bias and consistency of estimates.
Dynamical model parameter estimation, model parameterisation, extended least squares method, instrumental variables method, recursive versions of least squares, the adaptation for time varying systems – weighted least squares and exponential forgetting, the influence of unknown steady states, numerical problems.
Identification of non-parametric models (frequency response analysis, Fourier analysis, correlation analysis, spectral analysis).
Identification of unstable models and closed-loop identification, identifiability of parametric and non-parametric models.
Identification with pattern recognition.
Practical aspects of identification, sampling time selection, signal pre-processing, model choice, the test of model validity and its structure, the issue of time delays, robustness, the choice of an appropriate method.
Objectives and competences:
Intended learning outcomes:
Learning and teaching methods: