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Informatika i Ee Primeneniya [Informatics and its Applications], 2016, Volume 10, Issue 2, Pages 24–35
DOI: https://doi.org/10.14357/19922264160203
(Mi ia413)
 

This article is cited in 2 scientific papers (total in 2 papers)

Ellipsoidal suboptimal filters for nonlinear stochastic systems on manifolds

I. N. Sinitsyn, V. I. Sinitsyn, E. R. Korepanov

Institute of Informatics Problems, Federal Research Center “Computer Science and Control” of the Russian Academy of Sciences, 44-2 Vavilov Str., Moscow 119333, Russian Federation
Full-text PDF (209 kB) Citations (2)
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Abstract: For nonlinear differential stochastic systems on manifolds (MStS) with Wiener and Poisson noises, the synthesis theory of ellipsoidal suboptimal filters based on ellipsoidal approximation and ellipsoidal linearization methods is developed. Special attention is paid to MStS with additive non-Gaussian noises based on ellipsoidal linearization method. The algorithms are the basis of the experimental software tool «StS-Filter» (version 2016). Accuracy and sensitivity equations are presented. Some generalizations are mentioned.
Keywords: ellipsoidal approximation method (EAM); ellipsoidal linearization method (ELM); orthogonal expansions method (OEM); Poisson noise; stochastic system on manifolds (MStS); suboptimal filter (SOF); Wiener noise.
Funding agency Grant number
Russian Foundation for Basic Research 15-07-02244_а
The research was supported by the Russian Foundation for Basic Research (project 15-07-002244).
Received: 29.02.2016
Bibliographic databases:
Document Type: Article
Language: Russian
Citation: I. N. Sinitsyn, V. I. Sinitsyn, E. R. Korepanov, “Ellipsoidal suboptimal filters for nonlinear stochastic systems on manifolds”, Inform. Primen., 10:2 (2016), 24–35
Citation in format AMSBIB
\Bibitem{SinSinKor16}
\by I.~N.~Sinitsyn, V.~I.~Sinitsyn, E.~R.~Korepanov
\paper Ellipsoidal suboptimal filters for nonlinear stochastic systems on manifolds
\jour Inform. Primen.
\yr 2016
\vol 10
\issue 2
\pages 24--35
\mathnet{http://mi.mathnet.ru/ia413}
\crossref{https://doi.org/10.14357/19922264160203}
\elib{https://elibrary.ru/item.asp?id=26233722}
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  • This publication is cited in the following 2 articles:
    Citing articles in Google Scholar: Russian citations, English citations
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