The basics of modeling control systems using linear continuous and pulsed dynamic models, mathematical models of random processes, nonlinear and neural network models are considered. Questions of similarity theory and dimension theory are touched upon. Main methods of control objects identification are given, peculiarities of application of temporal, frequency, spectral, stochastic non-parametric and parametric methods of identification are shown.