METHOD FOR CONTROLLING UNCERTAINTY OF STOCHASTIC SYSTEM WITH CONDITIONAL ESTIMATE OF DISTRIBUTION DENSITY CENTER Russian patent published in 2021 - IPC G05B13/00 

FIELD: stochastic system.

SUBSTANCE: invention is used to control the uncertainty of a stochastic system. The essence of the invention lies in the fact that when organizing the control of the uncertainty of the stochastic system for the registered array of values of the output parameter of the system, the parameters of the symmetric distribution density model are determined and the distribution density model is monitored by comparing the uncertainty intervals of the distribution density model with the reference values of the uncertainty intervals of the symmetric target distribution density of the stochastic system, which allows controlling and purposefully changing the shape and scale of the symmetric distribution density model, under condition of estimating the center of the system output parameter is obtained. The use of a symmetric distribution density model to control the uncertainty of a stochastic system under condition of estimating the center of the array of the output parameter is obtained, allows the control of the shape and scale of the uncertainty of the output parameter to be independent of the position of the center estimate.

EFFECT: optimization of the search for the parameters of the symmetric uncertainty model of the stochastic system, provided that an estimate of the center of the distribution density is obtained.

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