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JOURNALS // Program Systems: Theory and Applications // Archive

Program Systems: Theory and Applications, 2010 Volume 1, Issue 1, Pages 45–59 (Mi ps3)

This article is cited in 3 papers

Artificial Intelligence, Intelligent Systems, Neural Networks

Monitoring system of spacecraft orientation angle-data and distance transmitters based on artificial neural networks

Yu. G. Emel'yanova, K. A. Konstantinov, S. V. Pogodin, A. A. Talalaev, I. P. Tishchenko, V. P. Fralenko, V. M. Khachumov

Multiprocessor Systems Research Center PSI RAS

Abstract: The neural network technology of spacecraft orientation transmitters control task solution is described. The general organization problems of monitoring and information flow processing including experimental data interpolation and approximation is considered. The task solution results of diagnosis and information flow processing with using cluster evaluator is presented. The necessary performance level estimation of perspective bundled software is given.

Key words and phrases: orientation transmitters control, correlation analysis, artificial neural network, spatial orientation.

UDC: 004.042

Received: 13.03.2010
Accepted: 22.03.2010



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