FIELD: measurement technology.
SUBSTANCE: invention relates to method of identifying characteristics and disturbances of dynamic objects in automatic control stochastic systems. To identify characteristics and disturbances of dynamic objects control object output quality parameters are measured, random implementations of Monte Carlo method are simulated, for which control object observed characteristics and disturbances acting on control object are stored. For each random implementation “discrepancy” and “extra discrepancy” are determined, defined as deviations and relative deviations of quality output parameters in simulating and during tests, respectively. Determining such implementation, for which minimum “extra discrepancy” is maximum. Values in this implementation are stored as identification parameters.
EFFECT: enabled higher precision of dynamic control object identified characteristics and disturbances.
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