The Conditionally Minimax Nonlinear Filtering Method and Modern Approaches to State Estimation in Nonlinear Stochastic Systems
- Авторы: Borisov A.V.1, Bosov A.V.1, Kibzun A.I.2, Miller G.B.1, Semenikhin K.V.2
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Учреждения:
- Institute of Informatics Problems of Federal Research Center “Computer Science and Control” of Russian Academy of Sciences
- Moscow Aviation Institute
- Выпуск: Том 79, № 1 (2018)
- Страницы: 1-11
- Раздел: Topical Issue
- URL: https://ogarev-online.ru/0005-1179/article/view/150746
- DOI: https://doi.org/10.1134/S0005117918010010
- ID: 150746
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Аннотация
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.
Об авторах
A. Borisov
Institute of Informatics Problems of Federal Research Center “Computer Science and Control” of Russian Academy of Sciences
Автор, ответственный за переписку.
Email: aborisov@frccsc.ru
Россия, Moscow
A. Bosov
Institute of Informatics Problems of Federal Research Center “Computer Science and Control” of Russian Academy of Sciences
Email: aborisov@frccsc.ru
Россия, Moscow
A. Kibzun
Moscow Aviation Institute
Email: aborisov@frccsc.ru
Россия, Moscow
G. Miller
Institute of Informatics Problems of Federal Research Center “Computer Science and Control” of Russian Academy of Sciences
Email: aborisov@frccsc.ru
Россия, Moscow
K. Semenikhin
Moscow Aviation Institute
Email: aborisov@frccsc.ru
Россия, Moscow
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