The procedure of active parametrical identification of stochastic linear continuous-discrete systems including robust estimation of parameters and optimal design of input signals is offered. A general case of entering unknown parameters into the equations of state and observation, initial conditions and covariance matrices of system noise and measure-ments is considered. The efficiency of this procedure is demonstrated by the example of a direct current motor control system.