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  • 标题:PID control of hypnotic induction in anaesthesia employing multiobjective optimization design procedures
  • 本地全文:下载
  • 作者:Ricardo Massao Kagami ; Renan Muniz Franco ; Gilberto Reynoso-Meza
  • 期刊名称:IFAC PapersOnLine
  • 印刷版ISSN:2405-8963
  • 出版年度:2021
  • 卷号:54
  • 期号:15
  • 页码:31-36
  • DOI:10.1016/j.ifacol.2021.10.227
  • 语种:English
  • 出版社:Elsevier
  • 摘要:AbstractGeneral anaesthesia is a clinical procedure that involves the continuous monitoring of several parameters for the correct application of anaesthetics and associated drugs. Focusing on the automatic control in anaesthesia, this work presents a multiobjective optimization design of controllers based on the Non-dominated Sorting Genetic Algorithm II (NSGA-II) to solve the problem of drug delivery for induction of anaesthesia. Five Proportional-Integral-Derivative (PID) controllers in a decentralized scheme were tuned for one specific patient and tested in a total of 24 simulated patients. Acting over the infusions of Propofol, Remifentanil, Atracurium, Dobutamine, and Sodium Nitroprusside the proposed controllers could maintain the controlled variables in a safe range for surgical procedures.
  • 关键词:KeywordsAnaesthesiacontroller tuningmultiobjective problemmultivariable controlPID controller
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