Stopping rules formation and faults detection in parametric identification problems

Ch Hajiyev

doi:10.1243/0959651011541184

Stopping rules formation and faults detection in parametric identification problems

Ch Hajiyev^*

^*Corresponding author for this work

Department of Aeronautical Engineering

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

3 Citations (Scopus)

Abstract

An approach to the generation of stopping rules in parametric identification problems is proposed on the basis of the computation of a statistic of the difference between two successive estimates. This statistic is also used for fault detection in the Kalman filter. The developed decision rules are applied to a linear system identification problem. Experimental results are presented to demonstrate the performance of the proposed algorithms.

Original language	English
Pages (from-to)	357-363
Number of pages	7
Journal	Proceedings of the Institution of Mechanical Engineers. Part I: Journal of Systems and Control Engineering
Volume	215
Issue number	4
DOIs	https://doi.org/10.1243/0959651011541184
Publication status	Published - 2001

Keywords

Fault detection
Kalman filter
Parametrical identification
Stopping rule

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10.1243/0959651011541184

Cite this

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abstract = "An approach to the generation of stopping rules in parametric identification problems is proposed on the basis of the computation of a statistic of the difference between two successive estimates. This statistic is also used for fault detection in the Kalman filter. The developed decision rules are applied to a linear system identification problem. Experimental results are presented to demonstrate the performance of the proposed algorithms.",

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AB - An approach to the generation of stopping rules in parametric identification problems is proposed on the basis of the computation of a statistic of the difference between two successive estimates. This statistic is also used for fault detection in the Kalman filter. The developed decision rules are applied to a linear system identification problem. Experimental results are presented to demonstrate the performance of the proposed algorithms.

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KW - Parametrical identification

KW - Stopping rule

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M3 - Article

AN - SCOPUS:0035736155

SN - 0959-6518

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JO - Proceedings of the Institution of Mechanical Engineers. Part I: Journal of Systems and Control Engineering

JF - Proceedings of the Institution of Mechanical Engineers. Part I: Journal of Systems and Control Engineering

IS - 4

ER -

Stopping rules formation and faults detection in parametric identification problems

Abstract

Keywords

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