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Journal of Automation and Information Sciences
SJR: 0.238 SNIP: 0.464 CiteScore™: 0.27

ISSN Imprimer: 1064-2315
ISSN En ligne: 2163-9337

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Journal of Automation and Information Sciences

DOI: 10.1615/JAutomatInfScien.v32.i3.50
pages 37-46

Development and Analysis of Robust Algorithms for Guaranteed Ellipsoidal Estimation of the State of Multidimensional Linear Discrete Dynamic Systems. Part 1

Victor V. Volosov
Institute of Space Research of National Academy of Sciences of Ukraine and National Space Agency of Ukraine, Kyiv
Lidiya I. Tyutyunnik
Space Research Institute of National Academy of Sciences of Ukraine and National Space Agency of Ukraine, Ukraine

RÉSUMÉ

A new class of the algorithms is proposed for ellipsoidal estimation of the state of dynamic objects, whose output vectors are measured with additive noise. Noise vector components are supposed to be module bounded by the given constants. Unlike the known algorithms the proposed ones are robust (insensitive) to failure of a priori information about characteristics of uncertainties in object models.


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