Optimal regressors search subjected to vector autoregression of Unevenly spaced TLE series

Автор(и)

  • O. Sarychev
  • B. Perviy

Анотація

An iterative procedure of the parametric identification of autoregressive models with unequally spaced observations has been developed. The task of the Sich-2 spacecraft dynamics modeling using its unequally spaced TLE elements is considered. For all elements, satisfactory quality models were obtained.

Посилання

1. JFSCC TLE Source. – Access mode via https://www.space-track.org/#Landing
2. Ivanov N. M. Ballistics and navigation of spacecraft. / N. M. Ivanov, L. N. Lysenko // M.: Drofa, 2004. - 544 p.
3. San-Juan J. F. An economic hybrid J2 analytical orbit propagator program based on SARIMA models / J. F. San-Juan, M. San-Martin, I. P´erez // Math. Probl. Eng, 2012. – 15 p.
4. San-Martin M., M´etodos de propagaci´on h´ıbridos aplicados al problema delsat´elite artificial / M. San-Martin // T´ecnicas de suavizado exponencial, University of La Rioja, 2014.
5. Ampatzis C. Machine learning techniques for approximation of objective functions in trajectory optimisation / C. Ampatzis, D. Izzo // Proceedings of the International Joint Conference on Artificial Intelligence, 2009.
6. Peng, H., Bai, X. Improving orbit prediction accuracy through supervised machine learning. / H. Peng, X. Bai // Advanced Space Research. – 2018. – № 61 (10). – 2628–2646 p.
7. Lyubushin A. A. Analysis of data from geophysical and environmental monitoring systems / A. A. Lyubushin. - M.: Science, 2007. - 228 p.
8. Sarychev A. P. Identification of parameters of systems of autoregression equations with known covariance matrices / A. P. Sarychev // International Scientific and Technical Journal “Control and Informatics Problems”. - 2012. - № 3. - 14–30 p.
9. Sarychev A. P. A study by the method of statistical tests of an iterative procedure for identifying the parameters of a system of autoregression equations / A. P. Sarychev // System Technologies. - 2014. - №3 (92). - 77–89 p.
10. Sarychev A. P. Linear autoregression based on the method of group accounting of arguments in the conditions of quasi-repeated observations / A. P. Sarychev // Artificial Intelligence. - 2015. - № 3-4 (69-70). - 105-123 p.
11. Seber J. Linear regression analysis: Per. from English / J. Seber. - M.: Mir, 1980. - 456 p.
12. Sarychev A. P. Modeling in the class of systems of autoregression equations under conditions of structural uncertainty / A. P. Sarychev // International Scientific and Technical Journal “Control and Informatics Problems”. - 2015. - № 4. - 79–103 p.
13. Sarychev A. P. Modeling of complex systems under conditions of structural uncertainty: regression and autoregression models / A. P. Sarychev. - LAP LAMBERT Academic Publishing RU, Saarbrücken, Deutschland, 2016. - 274 p.
14. Analysis of global trends in space activities, development of information-analytical and methodological support for the creation of the latest models of rocket and space technology (intermediate) in 4 volumes, volume 1 / ITM of NASU and SSAU; Head of Research A. Alpatov. - Dnepr, 2016. - 245 p. - state registration number 0116U004129. - Inv. 22 - 9/2016.

Завантаження

Опубліковано

2020-05-04