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The nonasymptotic confidence set for parameters of a linear control object under an arbitrary external disturbance. / Granichin, O.N.

In: Automation and Remote Control, Vol. 73, No. 1, 2012, p. 20-30.

Research output: Contribution to journal › Article › peer-review

Harvard

Granichin, ON 2012, 'The nonasymptotic confidence set for parameters of a linear control object under an arbitrary external disturbance', Automation and Remote Control, vol. 73, no. 1, pp. 20-30. https://doi.org/10.1134/S000511791201002X

APA

Granichin, O. N. (2012). The nonasymptotic confidence set for parameters of a linear control object under an arbitrary external disturbance. Automation and Remote Control, 73(1), 20-30. https://doi.org/10.1134/S000511791201002X

Vancouver

Granichin ON. The nonasymptotic confidence set for parameters of a linear control object under an arbitrary external disturbance. Automation and Remote Control. 2012;73(1):20-30. https://doi.org/10.1134/S000511791201002X

Author

Granichin, O.N. / The nonasymptotic confidence set for parameters of a linear control object under an arbitrary external disturbance. In: Automation and Remote Control. 2012 ; Vol. 73, No. 1. pp. 20-30.

BibTeX

@article{ab20c574b6334acdb3926903ea9aa6d2,
title = "The nonasymptotic confidence set for parameters of a linear control object under an arbitrary external disturbance",
abstract = "The problem is considered of developing the confidence sets for parameters of the transfer function of a control object (CO) on the basis of observable data. The assumptions as to disturbances (noises), affecting the CO, reduce to a minimum: noises can actually be arbitrary, but instead of them the user must have a chance of adding to the input signal a tentative disturbance independent of them. The procedure of solving this problem is suggested and substantiated, which is developed in the framework of the common diagram {"}leave-out sign-dominant correlation regions{"} (LSCR), actively progressed in the modern works of Marko Campi with co-authors, and using the approach, earlier suggested by the author, to the CO reparametrization. The procedure returns the confidence region, which for the finite set of observations with the probability selected by the user contains the parameters of the true transfer function.",
keywords = "IDENTIFICATION, BOOTSTRAP, MODELS, NOISE, FEEDBACK, QUALITY, SYSTEM",
author = "O.N. Granichin",
year = "2012",
doi = "10.1134/S000511791201002X",
language = "Английский",
volume = "73",
pages = "20--30",
journal = "Automation and Remote Control",
issn = "0005-1179",
publisher = "МАИК {"}Наука/Интерпериодика{"}",
number = "1",

}

RIS

TY - JOUR

T1 - The nonasymptotic confidence set for parameters of a linear control object under an arbitrary external disturbance

AU - Granichin, O.N.

PY - 2012

Y1 - 2012

N2 - The problem is considered of developing the confidence sets for parameters of the transfer function of a control object (CO) on the basis of observable data. The assumptions as to disturbances (noises), affecting the CO, reduce to a minimum: noises can actually be arbitrary, but instead of them the user must have a chance of adding to the input signal a tentative disturbance independent of them. The procedure of solving this problem is suggested and substantiated, which is developed in the framework of the common diagram "leave-out sign-dominant correlation regions" (LSCR), actively progressed in the modern works of Marko Campi with co-authors, and using the approach, earlier suggested by the author, to the CO reparametrization. The procedure returns the confidence region, which for the finite set of observations with the probability selected by the user contains the parameters of the true transfer function.

AB - The problem is considered of developing the confidence sets for parameters of the transfer function of a control object (CO) on the basis of observable data. The assumptions as to disturbances (noises), affecting the CO, reduce to a minimum: noises can actually be arbitrary, but instead of them the user must have a chance of adding to the input signal a tentative disturbance independent of them. The procedure of solving this problem is suggested and substantiated, which is developed in the framework of the common diagram "leave-out sign-dominant correlation regions" (LSCR), actively progressed in the modern works of Marko Campi with co-authors, and using the approach, earlier suggested by the author, to the CO reparametrization. The procedure returns the confidence region, which for the finite set of observations with the probability selected by the user contains the parameters of the true transfer function.

KW - IDENTIFICATION

KW - BOOTSTRAP

KW - MODELS

KW - NOISE

KW - FEEDBACK

KW - QUALITY

KW - SYSTEM

U2 - 10.1134/S000511791201002X

DO - 10.1134/S000511791201002X

M3 - статья

VL - 73

SP - 20

EP - 30

JO - Automation and Remote Control

JF - Automation and Remote Control

SN - 0005-1179

IS - 1

ER -

ID: 5303974