Nonlinear Information Processing Algorithm for Navigation Complex with Increased Degree of Parametric Identifiability-Reference-Cited by-同舟云学术

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

Published:2019 Issue: Volume: Page:37-49
ISSN:2198-4182
Container-title:Recent Research in Control Engineering and Decision Making
language:
Short-container-title:

Author:

Neusypin Konstantin^ORCID,Selezneva Maria^ORCID,Proletarsky Andrey^ORCID

Publisher

Springer International Publishing

Link

http://link.springer.com/content/pdf/10.1007/978-3-030-12072-6_4

Reference14 articles.

1. Groves, P.D.: Principles of GNSS, Inertial, and Multisensor Integrated Navigation Systems. Artech House, Boston (2013)

2. Neusypin, K.A.: Sovremennye sistemy i metody navedeniya, navigatsii i upravleniya letatelnymi apparatami [Modern systems and methods of guidance, navigation and aircraft control]. MGOU (2009). (in Russian)

3. Selezneva, M.S., Neusypin, K.A.: Development of a measurement complex with intelligent component. Meas. Tech. 59(9), 916–922 (2016)

4. Shen, K., Selezneva, M.S., Neusypin, K.A., Proletarsky, A.V.: Novel variable structure measurement system with intelligent components for flight vehicles. Metrol. Meas. Syst. 24(2), 347–356 (2017)

5. Proletarsky, A.V., Neusypin, K.A., Shen, K., Selezneva, M.S., Grout, V.: Development and analysis of the numerical criterion for the degree of observability of state variables in nonlinear systems. In: Proceedings of the 7th International Conference, vol. 7, pp. 150–154 (2017)

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