A backstepping control of artificial pancreas for type 1 diabetes based on sub-fixed-time stability
Yuexian Xing, Hanjie Ma, Yongbo Zhang, Boyan Jiang, Kaiming Luo, Fei Hua

TL;DR
This paper introduces a new control method for artificial pancreas systems that improves blood glucose regulation for type 1 diabetes patients.
Contribution
A novel Power Exponent Controller (PEC) based on backstepping control theory is proposed for artificial pancreas systems with rigorous stability analysis.
Findings
The PEC method reduces meal-induced disturbances and quickly adjusts blood glucose to target levels.
Simulations show PEC lowers post-meal glucose peaks below 180 mg/dL consistently.
The proposed method reduces time to reach safe glucose levels by approximately 25 minutes in extreme scenarios.
Abstract
The artificial pancreas device is an automated control system that simulates the function of the human pancreas. It continuously infuses insulin into the body, thereby maintaining the blood glucose levels of diabetic patients within a safe range. This device is expected to be widely adopted for patients with type 1 diabetes in the future. Currently, research on artificial pancreas control methods is still in its early stages. Most existing blood glucose control methods rely on controller designs that incorporate only gain parameters and typically lack rigorous theoretical analysis of closed-loop system stability. In contrast, the Power Exponent Controller (PEC), which introduces power exponent parameters, belongs to the categories of finite-time or fixed-time control. These controllers often demonstrate superior overall performance in terms of convergence rate, robustness, and other…
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Taxonomy
TopicsDiabetes Management and Research · Pancreatic function and diabetes · Advanced Control Systems Design
