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Title: Function parameterization and artificial neural networks for equilibrium parameters recovery in ASDEX upgrade: a comparison
Source: INTERNATIONAL JOURNAL OF APPLIED ELECTROMAGNETICS AND MECHANICS 8 (4): 343-373 NOV 1997
Document Type: Article
Language: English
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.
KeyWords Plus: PLASMA
Addresses: UNIV COLL CORK, DEPT PHYS, CORK, IRELAND
UNIV REGGIO CALABRIA, DEPT ELECT ENGN & APPL MATH, REGGIO DI CALALBRIA, I-89100 ITALY
Publisher: IOS PRESS, VAN DIEMENSTRAAT 94, 1013 CN AMSTERDAM, NETHERLANDS
Subject Category: ENGINEERING, ELECTRICAL & ELECTRONIC; MECHANICS; PHYSICS, APPLIED
IDS Number: YK758
ISSN: 1383-5416
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