1. Basic mathematical models of the dynamic systems, methods of their obtaining, overview of the analytical and experimental methods of system identification.
2. Realization of the mathematical models, simulation programmes, their classification and use.
3. Experimental identification using the deterministic signals. Approximation of the step responses.
4. Parameterization of the system characteristics, area methods, integration methods.
5. Bode plot characteristic – measurement and evaluation.
6. Statistic identification methods. Statistic characteristics, stationary, random process.
7. Identification using the correlation methods. Stochastic formulation of the dynamic systems, random test signals.
8. Identification using the parameter estimation, structure of the stochastic process and system.
9. Model parameter estimation, least square methods.
10. Recursive methods of the identification, weight coefficients, exponential filtering.
11. Identification of the systems operating in closed loop.
12. Realization of the simulation models, numerical solution, stability of the methods of numerical solution.
13. Model order reduction.
14. Simulation experiment, case study – the use of the simulation models by the design of the mechatronic system.
2. Realization of the mathematical models, simulation programmes, their classification and use.
3. Experimental identification using the deterministic signals. Approximation of the step responses.
4. Parameterization of the system characteristics, area methods, integration methods.
5. Bode plot characteristic – measurement and evaluation.
6. Statistic identification methods. Statistic characteristics, stationary, random process.
7. Identification using the correlation methods. Stochastic formulation of the dynamic systems, random test signals.
8. Identification using the parameter estimation, structure of the stochastic process and system.
9. Model parameter estimation, least square methods.
10. Recursive methods of the identification, weight coefficients, exponential filtering.
11. Identification of the systems operating in closed loop.
12. Realization of the simulation models, numerical solution, stability of the methods of numerical solution.
13. Model order reduction.
14. Simulation experiment, case study – the use of the simulation models by the design of the mechatronic system.