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The Conditionally Minimax Nonlinear Filtering Method and Modern Approaches to State Estimation in Nonlinear Stochastic Systems
Authors:A. V. Borisov  A. V. Bosov  A. I. Kibzun  G. B. Miller  K. V. Semenikhin
Affiliation:1.Institute of Informatics Problems of Federal Research Center “Computer Science and Control” of Russian Academy of Sciences,Moscow,Russia;2.Moscow Aviation Institute,Moscow,Russia
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.
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