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

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

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Journal of Automation and Information Sciences

DOI: 10.1615/JAutomatInfScien.v49.i10.30
pages 20-35

Prediction of Spacecraft Motion According to a Stochastic Model Based on Differential Transformations

Mikhail Yu. Rakushev
Ivan Chernyakhovsky National University of Defence of Ukraine, Kiev


An approach to solving the prediction problem of near space vehicles motion according to a stochastic dynamic model of motion is presented. The model of spacecraft motion considers stochasticity of initial conditions and variations in atmospheric density. The prediction is carried out by a direct prediction method with the use of a numerical integration method developed on the basis of differential transformations. The paper also presents the implementation features of software and algorithmic support for the prediction.

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