DocumentCode :
3644035
Title :
Elevation control of helicopter model using piecewise-linear neural network
Author :
Petr Doležel;Libor Havlíček;František Dušek
Author_Institution :
University of Pardubice, Faculty of Electrical Engineering and Informatics, Department of Process Control, Ná
fYear :
2011
Firstpage :
1
Lastpage :
4
Abstract :
The paper deals with Helicopter model elevation control. Helicopter model is significantly nonlinear plant which simulates in some simplified way behavior of real helicopter. There is derived new way to control it which uses piecewise-linear neural model. As it is shown at the end of the paper, this new control algorithm brings decent performance improvement compared to classical control techniques.
Keywords :
"Artificial neural networks","Mathematical model","Neurons","Helicopters","Difference equations","System identification"
Publisher :
ieee
Conference_Titel :
Applied Electronics (AE), 2011 International Conference on
ISSN :
1803-7232
Print_ISBN :
978-1-4577-0315-7
Type :
conf
Filename :
6049050
Link To Document :
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