DocumentCode :
1610212
Title :
Neural Network Based Adaptive Output Feedback Control for Guided Munitions
Author :
Kim, Nakwan
Author_Institution :
Dept. of Aerosp. Eng., Chungnam Nat. Univ., Taejon
fYear :
2006
Firstpage :
5169
Lastpage :
5172
Abstract :
This paper presents an approach to augmenting an existing controller with a neural network based adaptive element. The approach has advantage in the sense that augmentation of neural network does not require to design a new controller architecture like an inversion controller. The approach is illustrated in an application of normal acceleration control for guided munitions
Keywords :
control engineering computing; control system synthesis; feedback; military systems; neurocontrollers; weapons; adaptive output feedback control; guided munitions; inversion controller; neural network; normal acceleration control; Adaptive control; Adaptive systems; Linear feedback control systems; Neural networks; Neurofeedback; Nonlinear control systems; Output feedback; Programmable control; Uncertainty; Weapons; Adaptive control; Guided munitions; Neural network; Output feedback;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
SICE-ICASE, 2006. International Joint Conference
Conference_Location :
Busan
Print_ISBN :
89-950038-4-7
Electronic_ISBN :
89-950038-5-5
Type :
conf
DOI :
10.1109/SICE.2006.315383
Filename :
4108693
Link To Document :
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