66787

Автор(ы): 

Автор(ов): 

1

Параметры публикации

Тип публикации: 

Статья в журнале/сборнике

Название: 

System Identifiability and Structure Identification: Input and Output Variables Selection Based on Consistent Measures of Dependence

Электронная публикация: 

Да

ISBN/ISSN: 

2405-8963

DOI: 

10.1016/j.ifacol.2021.10.341

Наименование источника: 

  • IFAC-PapersOnline

Обозначение и номер тома: 

Volume 54, issue 14

Город: 

  • Amsterdam

Издательство: 

  • Elsevier

Год издания: 

2021

Страницы: 

132-137
Аннотация
This paper analyses the measures of dependence and properties needed to solve problems of identifiability as well as structure identification of systems – input and output variables selection, and constructive approach corresponding to these problems. The approach is based on applying consistent measures of both bivariate and multivariate dependence of random values and vectors; and enables constructing quantitative indexes to select system input and output variables.

Библиографическая ссылка: 

Чернышев К.Р. System Identifiability and Structure Identification: Input and Output Variables Selection Based on Consistent Measures of Dependence // IFAC-PapersOnline. 2021. Volume 54, issue 14. С. 132-137.