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

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Recent Research in Control Engineering and Decision Making (ICIT 2019)

Part of the book series: Studies in Systems, Decision and Control ((SSDC,volume 199))

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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.

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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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Authors and Affiliations

  1. Bauman Moscow State Technical University, Moscow, Russia

    Konstantin Neusypin, Maria Selezneva & Andrey Proletarsky

Authors
  1. Konstantin Neusypin
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  2. Maria Selezneva
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  3. Andrey Proletarsky
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Corresponding author

Correspondence to Maria Selezneva .

Editor information

Editors and Affiliations

  1. Institute of Applied Information Technologies and Communication, Yuri Gagarin State Technical University of Saratov, Saratov, Russia

    Olga Dolinina

  2. Institute of Applied Information Technologies and Communication, Yuri Gagarin State Technical University of Saratov, Saratov, Russia

    Alexander Brovko

  3. Institute of Applied Information Technologies and Communication, Yuri Gagarin State Technical University of Saratov, Saratov, Russia

    Vitaly Pechenkin

  4. Institute of Applied Information Technologies and Communication, Yuri Gagarin State Technical University of Saratov, Saratov, Russia

    Alexey Lvov

  5. Department of Automation, Novosibirsk State Technical University, Novosibirsk, Russia

    Vadim Zhmud

  6. Department of Computer Science, University of Texas at El Paso, El Paso, TX, USA

    Vladik Kreinovich

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Neusypin, K., Selezneva, M., Proletarsky, A. (2019). Nonlinear Information Processing Algorithm for Navigation Complex with Increased Degree of Parametric Identifiability. In: Dolinina, O., Brovko, A., Pechenkin, V., Lvov, A., Zhmud, V., Kreinovich, V. (eds) Recent Research in Control Engineering and Decision Making. ICIT 2019. Studies in Systems, Decision and Control, vol 199. Springer, Cham. https://doi.org/10.1007/978-3-030-12072-6_4

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