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

Kirill R. Chernyshov

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

机译：系统可识别性和结构标识：基于一致依赖度的输入和输出变量选择

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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.

机译：本文分析了解决可识别性问题所需的依赖性和特性以及系统输入和输出变量选择的结构识别，以及对应于这些问题的构造方法。该方法是基于应用随机值和载体的一致性和多变量依赖性的一致措施; 并启用构造定量索引以选择系统输入和输出变量。

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《IFAC PapersOnLine》 |2021年第14期|共6页
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Kirill R. Chernyshov;
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Consistent measures of dependenceHeterogeneity measureRényi axiomsSystem structure identificationVariables selection;

机译：一致的依赖性措施occenceheterceneity测量仪式AxiomsSysysysysysystem结构IdembertialVariables选择;

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专利

1. Consistent Measures of Dependence in the Identification of Multi-input/Multi-output Systems and Applications [J] . K.R. Chernyshov, E.Ph. Jharko, E.A. Sakrutina IFAC PapersOnLine . 2020,第2期

机译：在识别多输入/多输出系统和应用方面的一致措施
2. Modal parameter based structural identification using input-output data: Minimal instrumentation and global identifiability issues [J] . Suparno Mukhopadhyay, Hilmi Lus, Raimondo Betti Mechanical systems and signal processing . 2014,第2期

机译：使用输入-输出数据的基于模态参数的结构识别：最小化仪器和全局可识别性问题
3. A genetic input selection methodology for identification of the cleaning process on a combine harvester, Part II: Selection of relevant input variables for identification of material other than grain (MOG) content in the grain bin [J] . Geert Craessaerts, Wouter Saeys, Bart Missotten, Biosystems Engineering . 2007,第3期

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4. Quantitative Indexes of System Identifiability: An Approach Based on Consistent Measures of Dependence [C] . K. R. Chernyshov IFAC International Workshop on Adaptation and Learning in Control and Signal Processing . 2013

机译：系统可识别性的定量指标：一种基于一致依赖措施的方法
5. Frequency Domain System Identification of Linear Time-Invariant Single-Input Single-Output 2-Dimensional Systems and Multi-Input Multi-Output 1-Dimensional Systems by Utilizing AFD Type Algorithms [D] . Wang, Xiaoyin. 2020

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6. Antenna selection for multiple-input multiple-output systems based on deep convolutional neural networks [O] . Jia-xin Cai, Ranxu Zhong, Yan Li 2015

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8. The Production and Consumption of Non-Fuel Minerals to the Year 2030 Analyzed within an Input-Output Framework of the U.S. and World Economy (Techniques for Consistent Forecasting of Future Demand for Major Minerals Using an Input-Output Framework) [R] . Leontief, W. , Koo, J. , Nasar, S. , 1982

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

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