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Investigation of the Adaptivity Degree of State Variables in Linear Models of Dynamic Systems
Maria Selezneva1, Konstantin Neusypin1, Anastasia Surkova1
1Department of Information and Control Systems (IU1), Bauman Moscow State Technical University, Moscow 105005, Russia.
Abstract:
This study investigates the concept of the adaptability degree of state variables in mathematical models used in estimation algorithms. Two numerical criteria are proposed for calculating the adaptability degree of state variables in linear models. Qualitative characteristics of the adaptability of inertial navigation system errors are studied under conditions of varying sampling periods and flight altitudes of an atmospheric aircraft. The developed methods allow for the creation of models for estimation algorithms with desired adaptability properties.
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