1型糖尿病患者的血糖浓度控制：一种非线性次优方法。
Blood glucose concentration control for type 1 diabetic patients: a non-linear suboptimal approach.
作者信息
Batmani Yazdan
机构信息
Department of Electrical and Computer Engineering, University of Kurdistan, Sanandaj, Iran.
出版信息
IET Syst Biol. 2017 Aug;11(4):119-125. doi: 10.1049/iet-syb.2016.0044.
Abstract
In this study, a closed-loop treatment strategy is proposed for the control of blood glucose levels in type 1 diabetic patients. Toward this end, a non-linear technique for designing suboptimal tracking controllers, called the state-dependent Riccati equation tracker, is used based on a mathematical model of the glucose-insulin regulatory system. Since two state variables of the utilised model are not available to the controller, a non-linear filter is also designed to estimate these variables using the measured blood glucose concentration. Effects of unannounced meals and regular exercise are investigated for a nominal patient and nine diabetic patients with unknown parameters. Numerical simulations are given to show the effectiveness of the proposed treatment strategy even in the presence of parametric uncertainties and the observation noise.
摘要
在本研究中，提出了一种用于控制1型糖尿病患者血糖水平的闭环治疗策略。为此，基于葡萄糖-胰岛素调节系统的数学模型，使用了一种设计次优跟踪控制器的非线性技术，即状态依赖黎卡提方程跟踪器。由于控制器无法获得所使用模型的两个状态变量，还设计了一个非线性滤波器，用于根据测得的血糖浓度估计这些变量。针对一名标称患者和九名参数未知的糖尿病患者，研究了未宣布的进餐和规律运动的影响。给出了数值模拟结果，以表明所提出的治疗策略即使在存在参数不确定性和观测噪声的情况下也是有效的。
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