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The application of genetic algorithms to the optimal selection of parameter values in neural networks for attitude control systems

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2 Author(s)
Game, G.W. ; Dept. of Guidance & Control, British Aerosp., Bristol, UK ; James, C.D.

Spacecraft attitude control is conventionally achieved by the use of reaction wheel or thruster based control schemes. The authors investigate the use of a neural network controller for a thruster based spacecraft attitude control system. They propose to train the neural network using a genetic algorithm

Published in:

High Accuracy Platform Control in Space, IEE Colloquium on

Date of Conference:

14 Jun 1993