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ERROR ESTIMATES REDUCTION LINEAR MODEL
Nifantev Kim Sergeevich
Saint Petersburg State University of Aerospace Instrumentation
Bachelor, second year student of Magistracy
Saint Petersburg State University of Aerospace Instrumentation
Bachelor, second year student of Magistracy
Abstract
In this paper we consider the problem of reduction of linear models with a single input, single-output (SISO models). It boils down to reducing the complexity of the model so that simplified (reduced) model as little different from the original according to a certain criterion.The main problem in this formulation of the problem consists in the choice of criteria and the corresponding reduction algorithm. In the present work as a criterion for estimating uncertainty was chosen as the maximum of the difference of the frequency response of the original and reduced models for the entire frequency range.
Keywords: linear model, reduction, transfer function
Category: 01.00.00 Physics and mathematics
Article reference:
Error estimates reduction linear model // Modern scientific researches and innovations. 2015. № 3. P. 1 [Electronic journal]. URL: https://web.snauka.ru/en/issues/2015/03/50595
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