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JOURNALS // Informatika i Ee Primeneniya [Informatics and its Applications] // Archive

Inform. Primen., 2016 Volume 10, Issue 2, Pages 24–35 (Mi ia413)

This article is cited 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

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.

Received: 29.02.2016

DOI: 10.14357/19922264160203



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