Dynamic calibration of measurement channels using algorithms of nondifferentiable optimization

The problem of dynamic calibration of measurement channels is considered under an assumption that the relationship between the measurand and the raw result of measurement is adequately modeled by a linear, fixed-parameter difference equation. The parameters of this model are estimated on the basis of the reference data using an algorithm of nondifferentiable optimization and criteria of the quality of calibration defined in the domain of the measurand. The results of calibration are evaluated using the errors of the results of reconstruction performed by means of the model resulting from calibration. Some conclusions on the metrological applicability of the proposed approach are formulated. >