CASCADE REDUCTION APPROACH FOR IDENTIFICATION PROBLEMS

S. V. Aranovskiy, A. A. Bobtsov, A. A. Pyrkin


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Abstract

Identification problem of the partial set of unknown parameters in the linear regression model was considered. The reduction procedure was proposed allowing rewriting of the original model in the reduced form containing less unknown parameters. The existence conditions of the reduced model were investigated coming to the linear independence of the exciting signals.


Keywords: linear regression model, reduction, identification
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