SNS Superconducting Cavity Modeling -Iterative Learning Control

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dc.creatorKwon, Sung-il
dc.creatorWang, Yi-Ming
dc.creatorRegan, Amy
dc.creatorRohlev, Tony
dc.creatorProkop, Mark
dc.creatorThomson, Dave
dc.date2000-08-18
dc.date.accessioned2026-07-07T05:44:37Z
dc.date.available2026-07-07T05:44:37Z
dc.descriptionThe SNS SRF system is operated with a pulsed beam. For the SRF system to track the repetitive reference trajectory, a feedback and a feedforward controllers has been proposed. The feedback controller is to guarantee the closed loop system stability and the feedforward controller is to improve the tracking performance for the repetitive reference trajectory and to suppress the repetitive disturbance. As the iteration number increases, the error decreases.
dc.descriptionFor Linac2000, Paper ID TUC13, 3 pages, 3 figures, The summary of the technical report, LANSCE-5-TN-00-014, Los Alamos Nation Lab., July, 2000
dc.identifierhttps://arxiv.org/abs/physics/0008161
dc.identifierhttp://arxiv.org/abs/physics/0008161
dc.identifiereConf C000821 (2000) TUc13
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/83708
dc.subjectAccelerator Physics
dc.titleSNS Superconducting Cavity Modeling -Iterative Learning Control
dc.typetext

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