FIELD: computer engineering.
SUBSTANCE: invention relates to the computer equipment. Technical result is achieved by a method of identifying nonlinear systems by feeding a plurality of known signals thereto, observing a plurality of output signals and using an artificial neural network for approximating (interpolating) the identifiable model, which must satisfy certain conditions in accordance with the commutative diagram corresponding to the isomorphism principle.
EFFECT: technical result consists in providing automated structural-parametric, or nonparametric identification of an object model based on known values of input and output signals based on measurements.
1 cl, 2 dwg
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Authors
Dates
2020-02-18—Published
2019-06-10—Filed