PIEAS Artificial Intelligence Center (PAIC), Islamabad, Pakistan.
Department of Electrical Engineering, Pakistan Institute of Engineering and Applied Sciences, Islamabad, Pakistan.
IET Syst Biol. 2020 Oct;14(5):223-229. doi: 10.1049/iet-syb.2020.0030.
By providing the generalisation of integration and differentiation, and incorporating the memory and hereditary effects, fractional-order modelling has gotten significant attention in the past few years. One of the extensively studied and utilised models to describe the glucose-insulin system of a human body is Bergman's minimal model. This non-linear model comprises of integer-order differential equations. However, comparison with the experimental data shows that the fractional-order version of Bergman's minimal model is a better representative of the glucose-insulin system than its original integer-order model. To design a control law for an artificial pancreas for a diabetic patient using a fractional-order model, different techniques, including feedback linearisation, have been applied in the literature. The authors' previous work shows that the fractional-order version of Bergman's model describes the glucose-insulin system in a better way than the integer-order model. This study applies the sliding mode control technique and then compares the obtained simulation results with the ones obtained using feedback linearisation.
通过提供积分和微分的推广,并结合记忆和遗传效应,分数阶建模在过去几年中受到了广泛关注。在描述人体葡萄糖-胰岛素系统的广泛研究和应用模型中,伯格曼最小模型是其中之一。这个非线性模型包含整数阶微分方程。然而,与实验数据的比较表明,伯格曼最小模型的分数阶版本比其原始整数阶模型更能代表葡萄糖-胰岛素系统。为了使用分数阶模型为糖尿病患者设计人工胰腺的控制律,文献中应用了不同的技术,包括反馈线性化。作者之前的工作表明,伯格曼模型的分数阶版本比整数阶模型更能描述葡萄糖-胰岛素系统。本研究应用滑模控制技术,然后将得到的模拟结果与使用反馈线性化得到的结果进行比较。