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基于鲁棒观测器的吸引椭球法对1型糖尿病患者血浆葡萄糖调节的控制

Robust observer based control for plasma glucose regulation in type 1 diabetes patient using attractive ellipsoid method.

作者信息

Nath Anirudh, Dey Rajeeb

机构信息

Electrical Engineering Department, National Institute of Technology, Silchar, Assam, 788010, India.

出版信息

IET Syst Biol. 2019 Apr;13(2):84-91. doi: 10.1049/iet-syb.2018.5054.

Abstract

This paper deals with the design of robust observer based output feedback control law for the stabilisation of an uncertain nonlinear system and subsequently apply the developed method for the regulation of plasma glucose concentration in Type 1 diabetes (T1D) patients. The principal objective behind the proposed design is to deal with the issues of intra-patient parametric variation and non-availability of all state variables for measurement. The proposed control technique for the T1D patient model is based on the attractive ellipsoid method (AEM). The observer and controller conditions are obtained in terms of linear matrix inequality (LMI), thus allowing to compute easily both the observer and controller gains. The closed-loop response obtained using the designed controller avoids adverse situations of hypoglycemia and post-prandial hyperglycemia under uncertain conditions. Further to validate the robustness of the design, closed-loop simulations of random 200 virtual T1D patients considering parameters within the considered ranges are presented. The results indicate that hypoglycemia and post-prandial hyperglycemia are significantly reduced in the presence of bounded ( ) parametric variability and uncertain exogenous meal disturbance.

摘要

本文研究了基于鲁棒观测器的输出反馈控制律设计,用于稳定不确定非线性系统,并随后将所开发的方法应用于1型糖尿病(T1D)患者的血浆葡萄糖浓度调节。所提出设计背后的主要目标是解决患者体内参数变化以及并非所有状态变量都可用于测量的问题。针对T1D患者模型所提出的控制技术基于吸引椭球法(AEM)。观测器和控制器条件通过线性矩阵不等式(LMI)获得,从而便于轻松计算观测器和控制器增益。使用所设计控制器获得的闭环响应避免了在不确定条件下低血糖和餐后高血糖的不利情况。为进一步验证设计的鲁棒性,给出了考虑所考虑范围内参数的200名随机虚拟T1D患者的闭环仿真。结果表明,在有界( )参数变化和不确定外生进餐干扰存在的情况下,低血糖和餐后高血糖显著降低。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/56fa/8687389/775e6da99c87/SYB2-13-84-g006.jpg

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