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

https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=1610212