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Exactly linearizing adaptive control of propofol and remifentanil using a reduced Wiener model for the depth of anesthesia

机译:使用简化的维纳模型对麻醉深度精确线性化异丙酚和瑞芬太尼的自适应控制

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A closed-loop adaptive controller for propofol and remifentanil administration using BIS measurements is proposed in this paper. The controller design relies on a reduced MISO Wiener model for the depth of anesthesia. The exact linearization of this minimal Wiener structure using the model continuous-time parameter estimates calculated online by an extended Kalman filter is a key point in the design. A linear quadratic gaussian controller is developed for the exactly linearized system. Good results were obtained when the robustness of the proposed controller was assessed with respect to inter and intrapatient variability through Monte Carlo simulations on a database of 500 patients.
机译:本文提出了一种使用BIS测量用于丙泊酚和瑞芬太尼给药的闭环自适应控制器。对于麻醉深度,控制器设计依赖于简化的MISO Wiener模型。使用扩展卡尔曼滤波器在线计算的模型连续时间参数估计值,可以最小化这种维纳结构的精确线性化,这是设计中的关键点。针对精确线性化系统开发了线性二次高斯控制器。当通过500个患者的数据库上的Monte Carlo模拟评估所提出的控制器在患者间和患者内变异性方面的鲁棒性时,将获得良好的结果。

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