Применение метода инструментальных переменных для параметрической идентификации распределенной динамической системы

Authors

DOI:

https://doi.org/10.17308/sait.2018.4/1248

Keywords:

partial differential equations, parametric identification, multidimensional autoregression, OLS, instrumental variables method

Abstract

A variant of the method of instrumental variables for the parametric identification of equations of mathematical physics describing the dynamics of spatially-distributed processes on the basis of experimental multidimensional time series is proposed. The computational experiment performed shows a significant improvement in the quality of estimates of the parameters of the equation in comparison with the ordinary least squares method.

Author Biographies

  • А В Копытин, Voronezh State University

    Ph. D. of Рhysical and Мathematical Sciences, Associate Professor, Department of Information Technologies in Management, Computer Sciences Faculty, Voronezh State University

  • Е А Копытина, Voronezh State University

    ostgraduate Student, Department of Information Technologies in Man-agement, Computer Sciences Faculty, Voronezh State University

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Published

2018-11-22

Issue

Section

Mathematical Methods of System Analysis and Management

How to Cite

Применение метода инструментальных переменных для параметрической идентификации распределенной динамической системы. (2018). Proceedings of Voronezh State University. Series: Systems Analysis and Information Technologies, 4, 19-23. https://doi.org/10.17308/sait.2018.4/1248

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