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Application of a nonlinear operator to identify an unknown parameter for a scalar regression equation with disturbance in the measurement channel

Authors :
Vorobyev, Vladimir
Bobtsov, Alexey
Nikolaev, Nikolay
Pyrkin, Anton
Publication Year :
2023

Abstract

The article investigates an algorithm for identifying an unknown constant parameter for a scalar regression model using a nonlinear operator that allows us to obtain a new regression equation (with an expanded number of unknown parameters) for which the influence of interference in measurement or disturbance will be minimal.<br />Comment: in Russian language

Details

Language :
Russian
Database :
arXiv
Publication Type :
Report
Accession number :
edsarx.2305.16359
Document Type :
Working Paper