1型糖尿病患者血糖调节的变结构鲁棒控制器设计:回溯方法

IF 1.9 4区 生物学 Q4 CELL BIOLOGY IET Systems Biology Pub Date : 2021-07-08 DOI:10.1049/syb2.12032
Mohamadreza Homayounzade
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引用次数: 4

摘要

当胰腺中的β细胞被免疫系统破坏时,就会发生1型糖尿病。结果,胰腺不能产生足够的胰岛素,葡萄糖进入细胞产生能量。为了提高血糖浓度,应口服或注射足量的胰岛素。人工胰腺是一种自动调节人体胰岛素水平的装置,通过向人体注射所需的胰岛素量。设计了一种基于扩展Bergman最小模型的有限时间鲁棒反馈控制器。该控制器采用反步法设计,对未知外部干扰和参数不确定性具有较强的鲁棒性。利用李雅普诺夫定理证明了系统的稳定性。控制器是指数稳定的,因此提供血糖浓度的有限时间收敛到所需的幅度。在MATLAB/Simulink环境下进行了仿真,并与前人的研究结果进行了比较,验证了所提控制方法的有效性。
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Variable structure robust controller design for blood glucose regulation for type 1 diabetic patients: A backstepping approach

Diabetes mellitus type 1 occurs when β - cells in the pancreas are destroyed by the immune system. As a result, the pancreas cannot produce adequate insulin, and the glucose enters the cells to produce energy. To elevate the glycaemic concentration, sufficient amount of insulin should be taken orally or injected into the human body. Artificial pancreas is a device that automatically regulates the level of body insulin by injecting the requisite amount of insulin into the human body. A finite-time robust feedback controller based on the Extended Bergman Minimal Model is designed here. The controller is designed utilizing the backstepping approach and is robust against the unknown external disturbance and parametric uncertainties. The stability of the system is proved using the Lyapunov theorem. The controller is exponentially stable and hence provides the finite-time convergence of the blood glucose concentration to its desired magnitude. The effectiveness of the proposed control method is shown through simulation in MATLAB/Simulink environment via comparisons with previous studies.

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来源期刊
IET Systems Biology
IET Systems Biology 生物-数学与计算生物学
CiteScore
4.20
自引率
4.30%
发文量
17
审稿时长
>12 weeks
期刊介绍: IET Systems Biology covers intra- and inter-cellular dynamics, using systems- and signal-oriented approaches. Papers that analyse genomic data in order to identify variables and basic relationships between them are considered if the results provide a basis for mathematical modelling and simulation of cellular dynamics. Manuscripts on molecular and cell biological studies are encouraged if the aim is a systems approach to dynamic interactions within and between cells. The scope includes the following topics: Genomics, transcriptomics, proteomics, metabolomics, cells, tissue and the physiome; molecular and cellular interaction, gene, cell and protein function; networks and pathways; metabolism and cell signalling; dynamics, regulation and control; systems, signals, and information; experimental data analysis; mathematical modelling, simulation and theoretical analysis; biological modelling, simulation, prediction and control; methodologies, databases, tools and algorithms for modelling and simulation; modelling, analysis and control of biological networks; synthetic biology and bioengineering based on systems biology.
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