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Avtomatika i Telemekhanika, 2018, Issue 1, Pages 3–17 (Mi at14718)  
This article is cited in 8 scientific papers (total in 8 papers)

Topical issue

The conditionally minimax nonlinear filtering method and modern approaches to state estimation in nonlinear stochastic systems

A. V. Borisova, A. V. Bosova, A. I. Kibzunb, G. B. Millera, K. V. Semenikhina

a Institute of Informatics Problems of Federal Research Center "Computer Science and Control" of Russian Academy of Sciences, Moscow, Russia
b Moscow Aviation Institute, Moscow, Russia
Full-text PDF (647 kB) Citations (8)
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Abstract: We consider, in chronological order, the main results that have defined the concept of conditionally minimax nonlinear filtering. This would let us to follow all the evolution stages of this universal method, from a particular application, through basic mathematical concepts, to an advanced theory able to solve a wide class of robust estimation problems in linear and nonlinear stochastic systems.
Keywords: discrete-time nonlinear stochastic system, conditionally minimax nonlinear filtering, basic prediction, basic correction, minimax estimation problem.
Funding agency Grant number
Russian Foundation for Basic Research 16-07-00677-а
This work was supported in part by the Russian Foundation for Basic Research, projects nos. 16-07-00677-a and 15-07-02914-a.
Presented by the member of Editorial Board: B. M. Miller

Received: 20.03.2017
English version:
Automation and Remote Control, 2018, Volume 79, Issue 1, Pages 1–11
DOI: https://doi.org/10.1134/S0005117918010010
Bibliographic databases:
Document Type: Article
Language: Russian
Citation: A. V. Borisov, A. V. Bosov, A. I. Kibzun, G. B. Miller, K. V. Semenikhin, “The conditionally minimax nonlinear filtering method and modern approaches to state estimation in nonlinear stochastic systems”, Avtomat. i Telemekh., 2018, no. 1, 3–17; Autom. Remote Control, 79:1 (2018), 1–11
Citation in format AMSBIB
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\paper The conditionally minimax nonlinear filtering method and modern approaches to state estimation in nonlinear stochastic systems
\jour Avtomat. i Telemekh.
\yr 2018
\issue 1
\pages 3--17
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\transl
\jour Autom. Remote Control
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\vol 79
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\pages 1--11
\crossref{https://doi.org/10.1134/S0005117918010010}
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  • https://www.mathnet.ru/eng/at/y2018/i1/p3
    • This publication is cited in the following 8 articles:
    Citing articles in Google Scholar: Russian citations, English citations
    Related articles in Google Scholar: Russian articles, English articles
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    Abstract page:572
    Full-text PDF :110
    References:62
    First page:78
     
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