System Identification and Modeling

Systems and models, types of mathematical models, differential equations, state space description, description in frequency domain. Modeling, analytical methods of system identification, principles of physical modeling. Methods of system identification, black box approach. Input, output signals, step response, frequency analysis. Nonparametric methods. Parameter estimation of dynamic models. Stochastic approach, correlation methods. Identification experiment, model validation and model simulation and use.