DocumentCode
335433
Title
Structural modeling and identification using neural networks
Author
Hadaegh, F.Y. ; Chiang, R.Y. ; Lin, C.-F. ; Politopoulos, A.S.
Author_Institution
Jet Propulsion Lab., California Inst. of Technol., Pasadena, CA, USA
Volume
2
fYear
1994
fDate
29 June-1 July 1994
Firstpage
1707
Abstract
This paper presents the use of a multilayer feedforward neutral network and the Hopfield network to emulate and identify the dynamics of a reduced order model of a large span antenna-like ground experiment structure located at the JPL/AF-PL Large Spacecraft Control Laboratory. Input-output relations are shown to be closely replicated by a feedforward network and modal characterising identified by a Hopfield network.
Keywords
Hopfield neural nets; feedforward neural nets; flexible structures; identification; modelling; multilayer perceptrons; reduced order systems; Hopfield network; JPL/AF-PL Large Spacecraft Control Laboratory; input-output relations; large-span antenna-like ground experiment structure; modal characterisation; multilayer feedforward neutral network; reduced-order model; structural identification; structural modeling; Artificial neural networks; Equations; Laboratories; Multi-layer neural network; Neural networks; Nonhomogeneous media; Parameter estimation; Propulsion; Space technology; Space vehicles;
fLanguage
English
Publisher
ieee
Conference_Titel
American Control Conference, 1994
Print_ISBN
0-7803-1783-1
Type
conf
DOI
10.1109/ACC.1994.752363
Filename
752363
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