DocumentCode :
1686316
Title :
Precise interception of a maneuvering target by a missile
Author :
Efe, Mehmet Önder ; Kaynak, Okyay ; Wilamowski, Bogdan M.
Author_Institution :
Dept. of Electr. & Comput. Eng., Carnegie Mellon Univ., Pittsburgh, PA, USA
Volume :
2
fYear :
2002
fDate :
6/24/1905 12:00:00 AM
Firstpage :
1820
Lastpage :
1824
Abstract :
This paper presents a new error critic for neurocontrol of highly nonlinear systems. The unavailability of the target outputs of a neural network controller constitutes a difficulty in tuning the adjustable weights and biases and deserves a careful consideration to improve the tracking performance. The method described aims to drive the system into a predefined sliding regime through the use of a novel error measure. The controller is an ordinary feedforward neural network, the tuning strategy is the error backpropagation, and the contribution of the paper is the proof of precise tracking by using the proposed error critic in such a standard neurocontrol configuration. The results obtained justify the performance claims of the paper without requiring the analytical details of system under control
Keywords :
backpropagation; feedforward neural nets; missile control; neurocontrollers; nonlinear systems; target tracking; tuning; variable structure systems; error backpropagation; error critic; feedforward neural network; missile control; neural network; neurocontrol; nonlinear systems; sliding mode control; tracking; tuning; unavailability; variable structure control; Backpropagation; Competitive intelligence; Computer errors; Error correction; Feedforward neural networks; Fuzzy neural networks; Fuzzy systems; Missiles; Neural networks; Sliding mode control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Neural Networks, 2002. IJCNN '02. Proceedings of the 2002 International Joint Conference on
Conference_Location :
Honolulu, HI
ISSN :
1098-7576
Print_ISBN :
0-7803-7278-6
Type :
conf
DOI :
10.1109/IJCNN.2002.1007795
Filename :
1007795
Link To Document :
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