人工胰腺
PID控制器
计算机科学
控制理论(社会学)
调度(生产过程)
模糊逻辑
控制工程
人工智能
数学优化
工程类
控制(管理)
1型糖尿病
数学
内分泌学
医学
温度控制
糖尿病
作者
Yazdan Batmani,Shadi Khodakaramzadeh,Parham Moradi
出处
期刊:IEEE Journal of Biomedical and Health Informatics
[Institute of Electrical and Electronics Engineers]
日期:2022-04-01
卷期号:26 (4): 1708-1717
被引量:7
标识
DOI:10.1109/jbhi.2021.3116376
摘要
In this paper, an individualized intelligent multiple-model technique is proposed to design automatic artificial pancreas (AP) systems for the glycemic regulation of type 1 diabetic patients. At first, using the multiple-model concept, the insulin-glucose regulatory system is mathematically identified by constructing some local models. In this step, trade-offs between the number of local models and the complexity of the overall closed-loop system are made by defining and solving a bi-objective optimization problem. Then, optimal AP systems are designed by tuning a bank of proportional-integral-derivative (PID) controllers via the genetic algorithm (GA). A fuzzy gain scheduling strategy is employed to determine the participation percentages of the PID controllers in the control action. Finally, two safety mechanisms, called insulin on board (IOB) constraint and pump shut-off, are installed in the AP systems to enhance their performance. To assess the proposed AP systems, in silico experiments are performed on virtual patients of the UVA/Padova metabolic simulator. The obtained results reveal that the proposed intelligent multiple-model methodology leads to AP systems with limited hyperglycemia and no severe hypoglycemia.
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