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NEW ALGORITHM OF VARIABLE PARAMETERS IDENTIFICATION FOR LINEAR REGRESSION MODEL

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 This brief paper discusses identification problem of unknown time-varying parameters for a linear regression model. A new algorithm is proposed that guarantees–in case of a set of assumptions existence–an estimate of unknown parameters and their dynamical model with an asymptoticallyzero error. We analyze in details the case with two unknown parameters that enables to understand the main idea of the proposed approach. The efficiency of the algorithm considered in the paper is illustrated by computer modeling.

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