DocumentCode
2026292
Title
Identification and compensation of strategic missile guidance system error model based on the BP neural network
Author
Dawei, Zhao ; Guangjun, Chen ; Hualong, Xu
Author_Institution
Xi´´an High-tech Inst., China
Volume
1
fYear
2002
fDate
2002
Firstpage
805
Abstract
The error model of guidance system was established and inducted to nonlinear regression model in the paper. Based on the improved algorithm, the back-propagation neural network is applied to identify guidance system error model. The simulating data are used in the training of the neural network. The trained network should be used for the actual test data and error compensation. As a result, this method can improve the shooting accuracy of the missile.
Keywords
backpropagation; error compensation; identification; missile guidance; neural nets; nonlinear control systems; BP neural network; back-propagation neural network; backpropagation neural network; error compensation; missile shooting accuracy; nonlinear regression model; strategic missile guidance system error model compensation; strategic missile guidance system error model identification; Error compensation; Instruments; Missiles; Neural networks; Testing;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Control and Automation, 2002. Proceedings of the 4th World Congress on
Print_ISBN
0-7803-7268-9
Type
conf
DOI
10.1109/WCICA.2002.1022227
Filename
1022227
Link To Document