Investigation of the Adaptivity Degree of State Variables in Linear Models of Dynamic Systems

Sensors 2026 Open access

Read full text
Authors: Maria Sergeevna Selezneva, Konstantin A. Neusypin, Anastasia Surkova
DOI: 10.3390/s26020354
Cited by: 1
References: 16

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.

Fields of Study & Subjects

Aerospace and Aviation Technology Advanced Control and Stabilization in Aerospace Systems Aerospace Engineering and Control Systems

Publication details

Journal / source
Sensors
Publisher
MDPI AG
Volume
26
Issue
2
Pages
354–354
Publication date
6 January 2026
Language
EN