RT Journal Article ID 39e0144e02dee406 A1 Rakushev, Mikhail Yu. T1 Prediction of Spacecraft Motion According to a Stochastic Model Based on Differential Transformations JF Journal of Automation and Information Sciences JO JAI(S) YR 2017 FD 2017-12-29 VO 49 IS 10 SP 20 OP 35 K1 prediction problem K1 spacecraft motion K1 direct prediction method K1 numerical integration method K1 stochastic model AB 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. PB Begell House LK https://www.dl.begellhouse.com/journals/2b6239406278e43e,06b888af7fc9dfd9,39e0144e02dee406.html