The Stochastic Synthesis of the Adaptive Filter for Estimating the Controlled Systems State Based on the Condition of Maximum of the Generalized Power Function

The Stochastic Synthesis of the Adaptive Filter for Estimating the Controlled Systems State Based on the Condition of Maximum of the Generalized Power Function

The proposed procedure for the synthesis of the filter of the state estimation is based on a new mathematical model of the dynamic controlled system. It is based on the maximum condition of the function of the generalized power. The optimization boundary problem can be solved using the invariant emb...

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Main Authors: Kostoglotov Andrey Aleksandrovich, Lazarenko Sergey Valerievich, Kuznetsov Anton Aleksandrovich, Losev Vitalii Aleksandrovich, Deryabkin Igor Vladimirovich
Format: Article
Language:English
Published: EDP Sciences 2016-01-01
Series:MATEC Web of Conferences
Online Access:http://dx.doi.org/10.1051/matecconf/20167702008
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spelling doaj-e756d3d789da4381a9882fd41b3907a22021-02-02T00:09:18ZengEDP SciencesMATEC Web of Conferences2261-236X2016-01-01770200810.1051/matecconf/20167702008matecconf_icmmr2016_02008The Stochastic Synthesis of the Adaptive Filter for Estimating the Controlled Systems State Based on the Condition of Maximum of the Generalized Power FunctionKostoglotov Andrey Aleksandrovich0Lazarenko Sergey Valerievich1Kuznetsov Anton Aleksandrovich2Losev Vitalii Aleksandrovich3Deryabkin Igor Vladimirovich4Rostov State Transport University, Department of InformaticsDon State Technical University, Department of Radio Engineering and ElectronicsAir Force Military Training and Research Center “Air Force Academy named after Professor N.E. Zhukovsky and Yu.A. Gagarin”, Department of Metrology and Metrological supportDon State Technical University, Department of Radio Engineering and ElectronicsRostov State Transport University, Department of InformaticsThe proposed procedure for the synthesis of the filter of the state estimation is based on a new mathematical model of the dynamic controlled system. It is based on the maximum condition of the function of the generalized power. The optimization boundary problem can be solved using the invariant embedding procedure. The result differs from the known ones as it has lower dimensionality, non-linear structure and provides a more accurate estimation.http://dx.doi.org/10.1051/matecconf/20167702008
collection DOAJ
language English
format Article
sources DOAJ
author Kostoglotov Andrey Aleksandrovich
Lazarenko Sergey Valerievich
Kuznetsov Anton Aleksandrovich
Losev Vitalii Aleksandrovich
Deryabkin Igor Vladimirovich
spellingShingle Kostoglotov Andrey Aleksandrovich
Lazarenko Sergey Valerievich
Kuznetsov Anton Aleksandrovich
Losev Vitalii Aleksandrovich
Deryabkin Igor Vladimirovich
The Stochastic Synthesis of the Adaptive Filter for Estimating the Controlled Systems State Based on the Condition of Maximum of the Generalized Power Function
MATEC Web of Conferences
author_facet Kostoglotov Andrey Aleksandrovich
Lazarenko Sergey Valerievich
Kuznetsov Anton Aleksandrovich
Losev Vitalii Aleksandrovich
Deryabkin Igor Vladimirovich
author_sort Kostoglotov Andrey Aleksandrovich
title The Stochastic Synthesis of the Adaptive Filter for Estimating the Controlled Systems State Based on the Condition of Maximum of the Generalized Power Function
title_short The Stochastic Synthesis of the Adaptive Filter for Estimating the Controlled Systems State Based on the Condition of Maximum of the Generalized Power Function
title_full The Stochastic Synthesis of the Adaptive Filter for Estimating the Controlled Systems State Based on the Condition of Maximum of the Generalized Power Function
title_fullStr The Stochastic Synthesis of the Adaptive Filter for Estimating the Controlled Systems State Based on the Condition of Maximum of the Generalized Power Function
title_full_unstemmed The Stochastic Synthesis of the Adaptive Filter for Estimating the Controlled Systems State Based on the Condition of Maximum of the Generalized Power Function
title_sort stochastic synthesis of the adaptive filter for estimating the controlled systems state based on the condition of maximum of the generalized power function
publisher EDP Sciences
series MATEC Web of Conferences
issn 2261-236X
publishDate 2016-01-01
description The proposed procedure for the synthesis of the filter of the state estimation is based on a new mathematical model of the dynamic controlled system. It is based on the maximum condition of the function of the generalized power. The optimization boundary problem can be solved using the invariant embedding procedure. The result differs from the known ones as it has lower dimensionality, non-linear structure and provides a more accurate estimation.
url http://dx.doi.org/10.1051/matecconf/20167702008
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