Estimation of multidimensional dynamic systems in the presence of distorted observations Part 1. Constructing of algorithm | Vestnik Tomskogo gosudarstvennogo universiteta. Upravlenie, vychislitelnaja tehnika i informatika – Tomsk State University Journal of Control and Computer Science. 2009. № 4 (9).

Estimation of multidimensional dynamic systems in the presence of distorted observations Part 1. Constructing of algorithm

The task of estimation of the parameters of dynamic systems sometimes is being solved inconditions of distorted observations. Until recently, investigations have been preoccupied mainlywith the development of various methods for the rejections of distorted observations. The primaryconcern nowadays is not methods for the rejection such dates, but the development method thatremain stable against errors.The present article (its Part I) is devoted to the problem of correct choice and founding of algorithmsolving such task without any sacrifice of accuracy of estimation of the parameters of dynamicsystems.

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Keywords

convergence, algorithm, errors, process, system, сходимость, ошибки, алгоритм, процесс, система

Authors

NameOrganizationE-mail
Idrisov F.F.farit.idrisov@mail.ru
Terpugov A.F.
Всего: 2

References

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Идрисов Ф.Ф. Оценка параметров многомерной авторегрессионной модели при наличии аномальных ошибок // Изв. вузов. Физика. 1993. № 12. С. 86.
Морозов В.А. Оценивание параметров линейных динамических систем с неопределенными наблюдениями // Автоматика и телемеханика. 1984. № 4. С. 84 - 90.
 Estimation of multidimensional dynamic systems in the presence of distorted observations Part 1. Constructing of algorithm | Vestnik Tomskogo gosudarstvennogo universiteta. Upravlenie, vychislitelnaja tehnika i informatika – Tomsk State University Journal of Control and Computer Science. 2009. № 4 (9).

Estimation of multidimensional dynamic systems in the presence of distorted observations Part 1. Constructing of algorithm | Vestnik Tomskogo gosudarstvennogo universiteta. Upravlenie, vychislitelnaja tehnika i informatika – Tomsk State University Journal of Control and Computer Science. 2009. № 4 (9).

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