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Journal of Automation and Information Sciences

Published 12 issues per year

ISSN Print: 1064-2315

ISSN Online: 2163-9337

SJR: 0.173 SNIP: 0.588 CiteScore™:: 2

Indexed in

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

Volume 49, Issue 10, 2017, pp. 20-35
DOI: 10.1615/JAutomatInfScien.v49.i10.30
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ABSTRACT

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.

CITED BY
  1. Rakushev Mykhailo, Permiakov Oleksandr, Lavrinchuk Oleksandr, Tarasenko Svitlana, Kovbasiuk Serhii, Kravchenko Yurii, Numerical Method of Integration on the Basis of Multidimensional Differential-Taylor Transformations, 2019 IEEE International Scientific-Practical Conference Problems of Infocommunications, Science and Technology (PIC S&T), 2019. Crossref

  2. Mukhin Vadym, Kornaga Yaroslav, Bondarenko Viktor, Zavgorodnii Valerii, Herasymenko Oksana, Sholokhov Oleksii, Mathematical Model for Heterogeneous Databases Parameters Estimation in Distributed Systems with Dynamic Structure, 2020 IEEE 2nd International Conference on Advanced Trends in Information Theory (ATIT), 2020. Crossref

  3. Bondarenko Viktor, Kravchenko Yurii, Salkutsan Serhii, Tyshchenko Maksym, Synthesis of the Structure of Multilevel Hierarchical Systems of Increased Survivability Based on a Subjective Probability Model, 2020 IEEE 2nd International Conference on Advanced Trends in Information Theory (ATIT), 2020. Crossref

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