基于任意阶滑模的人工胰腺机构鲁棒控制算法

IF 1.9 4区 生物学 Q4 CELL BIOLOGY
Waqar Alam, Qudrat Khan, Raja Ali Riaz, Rini Akmeliawati
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引用次数: 4

摘要

在糖尿病患者中,胰腺仍然不能给胰岛素,导致高血糖,血糖浓度升高,这可能会刺激许多并发症。为了避免这种情况,糖尿病患者外源性胰岛素输注需要一个闭环控制策略。这种闭环结构通常被称为人工胰腺,通常通过采用不同的反馈控制策略来建立。在这项工作中,作者提出了一种任意阶滑模控制方法来发展上述机制。术语,任意,是在它适用于任何n阶可控正则系统的意义上行使的。所提出的控制算法确认了葡萄糖-胰岛素调节系统在期望水平上的有限时间有效稳定,并减轻了急剧波动。这项工作的新颖之处在于包含间接非线性项的滑动歧管。此外,必要的不连续项在工厂使用之前被过滤掉一次,即糖尿病患者。鲁棒性,在存在外部干扰,即膳食摄入量是通过严格的数学稳定性分析证实。此外,通过将结果与标准文献进行比较,确定了所提出控制策略的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Arbitrary-order sliding mode-based robust control algorithm for the developing artificial pancreas mechanism

Arbitrary-order sliding mode-based robust control algorithm for the developing artificial pancreas mechanism

In Diabetes Mellitus, the pancreas remains incapable of insulin administration that leads to hyperglycaemia, an escalated glycaemic concentration, which may stimulate many complications. To circumvent this situation, a closed-loop control strategy is much needed for the exogenous insulin infusion in diabetic patients. This closed-loop structure is often termed as an artificial pancreas that is generally established by the employment of different feedback control strategies. In this work, the authors have proposed an arbitrary-order sliding mode control approach for development of the said mechanism. The term, arbitrary, is exercised in the sense of its applicability to any n -order controllable canonical system. The proposed control algorithm affirms the finite-time effective stabilisation of the glucose–insulin regulatory system, at the desired level, with the alleviation of sharp fluctuations. The novelty of this work lies in the sliding manifold that incorporates indirect non-linear terms. In addition, the necessary discontinuous terms are filtered-out once before its employment to the plant, i.e. diabetic patient. The robustness, in the presence of external disturbances, i.e. meal intake is confirmed via rigorous mathematical stability analysis. In addition, the effectiveness of the proposed control strategy is ascertained by comparing the results with the standard literature.

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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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