The Conditionally Minimax Nonlinear Filtering Method and Modern Approaches to State Estimation in Nonlinear Stochastic Systems


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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.

作者简介

A. Borisov

Institute of Informatics Problems of Federal Research Center “Computer Science and Control” of Russian Academy of Sciences

编辑信件的主要联系方式.
Email: aborisov@frccsc.ru
俄罗斯联邦, Moscow

A. Bosov

Institute of Informatics Problems of Federal Research Center “Computer Science and Control” of Russian Academy of Sciences

Email: aborisov@frccsc.ru
俄罗斯联邦, Moscow

A. Kibzun

Moscow Aviation Institute

Email: aborisov@frccsc.ru
俄罗斯联邦, Moscow

G. Miller

Institute of Informatics Problems of Federal Research Center “Computer Science and Control” of Russian Academy of Sciences

Email: aborisov@frccsc.ru
俄罗斯联邦, Moscow

K. Semenikhin

Moscow Aviation Institute

Email: aborisov@frccsc.ru
俄罗斯联邦, Moscow

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