The Conditionally Minimax Nonlinear Filtering Method and Modern Approaches to State Estimation in Nonlinear Stochastic Systems |
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Authors: | A. V. Borisov A. V. Bosov A. I. Kibzun G. B. Miller K. V. Semenikhin |
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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 |
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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. |
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