The diagnostics requirements for the control of NTM instabilities is outlined stressing the importance of correctly managing the estimate uncertainty by the control system. A methodology for the Bayesian assimilation of model predictions and observations is outlined together with an example of application.

Algorithms for the Control of NTM by Localized ECRH. Principles and Requirements of the Real Time Diagnostic and Control System

Cirant S;Farina D;Gandini F;Lazzaro E;
2008

Abstract

The diagnostics requirements for the control of NTM instabilities is outlined stressing the importance of correctly managing the estimate uncertainty by the control system. A methodology for the Bayesian assimilation of model predictions and observations is outlined together with an example of application.
2008
Istituto di fisica del plasma - IFP - Sede Milano
Inglese
Giuseppe Gorini, Francesco P. Orsitto, Elio Sindoni, Marco Tardocchi
BURNING PLASMA DIAGNOSTICS: An International Conference
Int. Conf. Burning Plasma Diagnostics
978-0-7354-0507-3
http://proceedings.aip.org/resource/2/apcpcs/988/1/450_1
No
24-28 September 2007
Varenna, Italy
____
AIP Conf. Proc., vol. 988, pp. 450-453 (2008)
4
none
D'Antona G.; Cirant S.; Farina D.; Gandini F.; Lazzaro E.; Treuterer W.;Manini A.
273
info:eu-repo/semantics/conferenceObject
04 Contributo in convegno::04.01 Contributo in Atti di convegno
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/71106
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