{
  "annotation_id": "427d33ba-07e7-4abb-8144-d113f512b570",
  "date_created": "2026-03-02T18:00:32.543000Z",
  "date_modified": "2026-03-02T18:00:32.543000Z",
  "file_hash": "a922608aa463e5206373735c3c86f668b7b2ac0efd54989f16d432807094840a",
  "private": false,
  "record": {
    "abstract": "The SNS SRF system is operated with a pulsed beam. For the SRF system to\ntrack the repetitive reference trajectory, a feedback and a feedforward\ncontrollers has been proposed. The feedback controller is to guarantee the\nclosed loop system stability and the feedforward controller is to improve the\ntracking performance for the repetitive reference trajectory and to suppress\nthe repetitive disturbance. As the iteration number increases, the error\ndecreases.",
    "arxiv_id": "physics/0008161",
    "authors": [
      "Sung-il Kwon",
      "Yi-Ming Wang",
      "Amy Regan",
      "Tony Rohlev",
      "Mark Prokop",
      "Dave Thomson"
    ],
    "categories": [
      "physics.acc-ph"
    ],
    "journal_ref": "eConf C000821 (2000) TUc13",
    "title": "SNS Superconducting Cavity Modeling -Iterative Learning Control",
    "url": "https://arxiv.org/abs/physics/0008161"
  },
  "schema_id": "dorsal/arxiv",
  "source": {
    "execution_id": "1afb62db-9086-46f6-8ceb-b393465f22b9",
    "id": "arXiv Dataset IDs",
    "type": "Model",
    "variant": "snapshot-2026-03-01",
    "version": "0.1.0"
  },
  "user_id": 1000002
}