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

被引：1
|
作者：
Chernyshov, Kirill R. [1 ]
机构：
[1] VA Trapeznikov Inst Control Sci, 65 Profsoyuznaya St, Moscow 117997, Russia
来源：
IFAC PAPERSONLINE | 2021年 / 54卷 / 14期
关键词：
Consistent measures of dependence; Heterogeneity measure; Renyi axioms; System structure identification; Variables selection;
D O I：
10.1016/j.ifacol.2021.10.341
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
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. Copyright (C) 2021 The Authors.
引用
收藏
页码：132 / 137
页数：6
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