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PID control of hypnotic induction in anaesthesia employing multiobjective optimization design procedures

机译:用多目标优化设计程序的麻醉催眠诱导的PID控制

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General 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.
机译:全身麻醉是一种临床程序,涉及连续监测若干参数,以正确应用麻醉剂和相关药物。 专注于麻醉中的自动控制,这项工作基于非主导的分类遗传算法II(NSGA-II)的控制器提供了多目标优化设计,以解决吸毒诱导麻醉药物的问题。 分散方案中的五种比例整体衍生物(PID)控制器针对一个特定患者进行调节,并在总共24名模拟患者中进行测试。 表现出对丙糊糊的,雷芬菊酯,蹄术,多巴酚胺和硝普司酸钠的输注,所提出的控制器可以将受控变量维持在安全范围内的外科手术。

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