Интеллектуальный метод анализа для автоматизированного прогнозирования состояния КА

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С.В. Соловьев
12 Инженерный журнал: наука и инновации # 22016
Intelligent analysis technique for automated prediction
of spacecraft status
© S.V. Soloviev
Bauman Moscow State Technical University, Moscow, 105005, Russia
The article considers methods of predicting technical status of spacecraft. Differences
between intelligent data analysis and traditional algorithms are given. The process of
introducing intelligent systems into spacecraft flight control practice is evaluated.
Keywords: flight control, intelligent analysis, IMS, prediction problems.
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