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Function parameterization and artificial neural networks for equilibrium parameters recovery in ASDEX upgrade: a comparison
Author(s): McCarthy, PJ (McCarthy, PJ); Morabito, FC (Morabito, FC)
Source: INTERNATIONAL JOURNAL OF APPLIED ELECTROMAGNETICS AND MECHANICS  Volume: 8   Issue: 4   Pages: 343-373   Published: NOV 1997
Times Cited: 7 (from Web of Science)
Cited References: 24      [ view related records ]     Citation MapCitation Map     
Abstract: Artificial Neural Network (ANN) models are applied to both simulated and experimental data from the ASDEX Upgrade tokamak. The results are compared in detail to those obtained from the real time version of the Function Parameterization (FP) technique currently in use for the feedback control of the plasma discharge and for after-shot analysis. Though the on-line evaluation algorithm for both methods is quite similar, the choice of nonlinear models and the strategies for determining the representation coefficients are very different. Both methods can be advantageously used to solve problems of plasma identification.
Accession Number: WOS:A1997YK75800006
Document Type: Article
Language: English
KeyWords Plus: PLASMA
Addresses:
[ 1 ] UNIV COLL CORK,DEPT PHYS,CORK,IRELAND
[ 2 ] UNIV REGGIO CALABRIA,DEPT ELECT ENGN & APPL MATH,I-89100 REGGIO CALABRIA,ITALY
ResearcherID Numbers: [ ? ]
[ 1 researcher(s) included this record in their ResearcherID My Publication List. Click to view. ]
Publisher: IOS PRESS, VAN DIEMENSTRAAT 94, 1013 CN AMSTERDAM, NETHERLANDS
Web of Science Categories: Engineering, Electrical & Electronic; Mechanics; Physics, Applied
Research Areas: Engineering; Mechanics; Physics
IDS Number: YK758
ISSN: 1383-5416

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