1. Fundamentals of the dynamic system analysis, comparison of the analytical and experimental methods of the identification.
2. Realization of the mathematical models using the simulation programmes. Classification of the simulation programmes.
3. Experimental identification using the deterministic signals. Step response approximation.
4. Parameterization of the responses – step response, impulse response.
5. Frequency response measurement and parameterization.
6. Statistical methods of system identification. Statistic characteristic of the signals and processes.
7. System identification using the correlation methods. Stochastic form of the dynamic system – Wiener – Hopf equation. Random test signals.
8. Discrete model identification, different structures of the random signal and random process models.
9. Model parameters obtaining, least square methods.
10. Recursive identification methods, weight coefficients, exponential weight function.
11. Identification of the systems operated in the closed loop.
12. Numerical methods for solution of the differential equations and their stability.
13. A-stabil, AD-stabil methods of the numerical solution of the differential equations.
14. Numerical methods used for the modelling of the static characteristics.
2. Realization of the mathematical models using the simulation programmes. Classification of the simulation programmes.
3. Experimental identification using the deterministic signals. Step response approximation.
4. Parameterization of the responses – step response, impulse response.
5. Frequency response measurement and parameterization.
6. Statistical methods of system identification. Statistic characteristic of the signals and processes.
7. System identification using the correlation methods. Stochastic form of the dynamic system – Wiener – Hopf equation. Random test signals.
8. Discrete model identification, different structures of the random signal and random process models.
9. Model parameters obtaining, least square methods.
10. Recursive identification methods, weight coefficients, exponential weight function.
11. Identification of the systems operated in the closed loop.
12. Numerical methods for solution of the differential equations and their stability.
13. A-stabil, AD-stabil methods of the numerical solution of the differential equations.
14. Numerical methods used for the modelling of the static characteristics.