Active identification of stochastic linear discrete-time systems

For stochastic linear discrete systems the procedure of active identification which is taking into account various levels of parametrical uncertainty is submitted. The earlier received results are generalized on a case, when subject parameters estimation the managements, indignation, measurement, in the entry conditions and covariance matrixes of handicaps of dynamics and mistakes of measurements in various combinations contain in matrixes of a condition.