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Nonlinear Information Processing Algorithm for Navigation Complex with Increased Degree of Parametric Identifiability

  • Konstantin Neusypin
  • Maria SeleznevaEmail author
  • Andrey Proletarsky
Conference paper
Part of the Studies in Systems, Decision and Control book series (SSDC, volume 199)

Abstract

The aircraft navigation system with the error compensation algorithm of the basic inertial navigation system is considered. A nonlinear correction algorithm has been developed using an SDC representation of the navigation system’s error model matrix. To improve the accuracy of the model, a method is proposed for increasing the degree of identifiability of the parameters in the model matrix. The problem of identification of nonlinear systems is investigated. A numerical criterion for the degree of identifiability of the parameters of a non-linear model of one class, based on the SDC representation of the non-linear model, has been developed.

Keywords

Navigation complex Navigation system errors Correction algorithm Nonlinear model SDC representation Identifiability criterion Identifiability quality 

Notes

Acknowledgments

This work was supported by the Russian Fund for Fundamental Research (Project 16-8-00522), the State Mission of the Ministry of Education and Science of the Russian Federation (Project No. 2.7486.2017) and the Program of Introducing Talents of Discipline to Universities in China (Program 111, No. B 16025).

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Copyright information

© Springer Nature Switzerland AG 2019

Authors and Affiliations

  1. 1.Bauman Moscow State Technical UniversityMoscowRussia

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