ISSN (print) 1995-2732
ISSN (online) 2412-9003




This article analyzes approaches to a problem of determining the identifiability degree of linear dynamic system parameters. The authors studied original criteria for calculation of the identifiability degree of specific parameters of a dynamic object model applying a scalar approach. Efficiency of criteria for the identifiability degree was demonstrated by analyzing the quality of identification of the gravitational acceleration in error models of an aircraft inertial navigation system.


Dynamic object model, identifiability, quality of identification, criterion of the identifiability degree.

Neusypin Konstantin Avenirovich – D.Sc. (Eng.), Professor, Bauman Moscow State Technical University. Moscow, Russia. E-mail: This email address is being protected from spambots. You need JavaScript enabled to view it..

Proletarsky Andrey Viktorovich – D.Sc. (Eng.), Professor, Bauman Moscow State Technical University. Moscow, Russia.

Kuznetsov Igor Aleksandrovich – Postgraduate Student, Bauman Moscow State Technical University. Moscow, Russia.


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