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Function parameterization and artificial neural networks for equilibrium parameters recovery in ASDEX upgrade: a comparison
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| 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
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| Times Cited: 7 (from Web of Science) |
Cited References: 24 [ view related records ]  Citation 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
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| 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. ][Hide table]
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| Publisher:
IOS PRESS, VAN DIEMENSTRAAT 94, 1013 CN AMSTERDAM, NETHERLANDS
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| Web of Science Categories: Engineering, Electrical & Electronic; Mechanics; Physics, Applied |
| Research Areas: Engineering; Mechanics; Physics |
| IDS Number:
YK758
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| ISSN:
1383-5416
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