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Journal of Automation and Information Sciences
SJR: 0.232 SNIP: 0.464 CiteScore™: 0.27

ISSN Print: 1064-2315
ISSN Online: 2163-9337

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Journal of Automation and Information Sciences

DOI: 10.1615/JAutomatInfScien.v40.i10.30
pages 38-46

Robust Methods of Ellipsoidal Estimation of Dynamical Systems State under Restrictions on Noise of Output Measurements and Rate of their Variation

Victor V. Volosov
Institute of Space Research of National Academy of Sciences of Ukraine and National Space Agency of Ukraine, Kyiv
Vladimir N. Shevchenko
Institute of Space Research of National Academy of Sciences of Ukraine and National Space Agency of Ukraine, Kyiv, Ukraine

ABSTRACT

We obtained new robust algorithms of ellipsoidal estimate of the vector of state of dynamical systems by the results of measurement of their outputs, which are distorted by additive noise. In contrast to known algorithms, which account only boundedness of noises, we additionally take into account boundedness of rate of their variation. Efficiency of the obtained algorithms is shown by results of computer modeling of their use in the problem of control of orbital spacecraft orientation.


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