无抖振高阶滑模和无气味卡尔曼滤波控制血糖水平

F. Jarollahi, A. Karsaz
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引用次数: 0

摘要

提出了一种新的混合方案,用于1型糖尿病(T1DM)患者的血糖(BG)调节系统。一些混合血糖-胰岛素控制器将模糊逻辑和元启发式算法等人工智能与著名的Palumbo模型相结合。然而,这些方法大多集中在葡萄糖参考跟踪上,葡萄糖传感器误差以及各种不可测量的干扰尚未得到很好的研究。本文提出了一种基于高阶滑模(HoSM)和无气味卡尔曼滤波(UKF)的混合方法。在日常葡萄糖水平干扰的情况下,所提出的混合方案在理想的BG水平跟踪和颤振减少方面的高性能已经得到验证。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Chattering-free Higher Order Sliding Mode and Unscented Kalman Filter for Blood Glucose Level Control
A new hybrid scheme is proposed for the blood glucose (BG) regulatory system in type-l diabetes mellitus (T1DM) patients. Some of hybrid glucose-insulin controllers have combined the artificial intelligence such as fuzzy logic and metaheuristic algorithm with well-known Palumbo model. However, most of those approaches have focused on the glucose reference tracking, and the glucose sensor errors as well as various unmeasurable disturbances have not been well studied. In this paper, a hybrid method based on higher order sliding mode (HoSM) and unscented Kalman filter (UKF) has been presented. The high performance of the proposed hybrid scheme for desired BG level tracking and chattering reduction in presence of daily glucose level disturbances has been verified.
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