Rashid Mudassir, Samadi Sediqeh, Sevil Mert, Hajizadeh Iman, Kolodziej Paul, Hobbs Nicole, Maloney Zacharie, Brandt Rachel, Feng Jianyuan, Park Minsun, Quinn Laurie, Cinar Ali
Dept of Chemical and Biological Engineering, Illinois Institute of Technology, 10 W 33rd Street, Chicago, IL, USA, 60616.
Dept of Biomedical Engineering, Illinois Institute of Technology, 10 W 33rd Street, Chicago, IL, USA, 606016.
Comput Chem Eng. 2019 Nov 2;130. doi: 10.1016/j.compchemeng.2019.106565. Epub 2019 Sep 2.
A simulator for testing automatic control algorithms for nonlinear systems with time-varying parameters, variable time delays, and uncertainties is developed. It is based on simulation of virtual patients with Type 1 diabetes (T1D). Nonlinear models are developed to describe glucose concentration (GC) variations based on user-defined scenarios for meal consumption, insulin administration, and physical activity. They compute GC values and physiological variables, such as heart rate, skin temperature, accelerometer, and energy expenditure, that are indicative of physical activities affecting GC dynamics. This is the first simulator designed for assessment of multivariable controllers that consider supplemental physiological variables in addition to GC measurements to improve glycemic control. Virtual patients are generated from distributions of identified model parameters using clinical data. The simulator will enable testing and evaluation of new control algorithms proposed for automated insulin delivery as well as various control algorithms for nonlinear systems with uncertainties, time-varying parameters and delays.
开发了一种用于测试具有时变参数、可变时间延迟和不确定性的非线性系统自动控制算法的模拟器。它基于对1型糖尿病（T1D）虚拟患者的模拟。开发了非线性模型，以根据用户定义的饮食摄入、胰岛素给药和身体活动场景来描述血糖浓度（GC）变化。它们计算GC值和生理变量，如心率、皮肤温度、加速度计和能量消耗，这些变量指示影响GC动态的身体活动。这是第一个设计用于评估多变量控制器的模拟器，该模拟器除了考虑GC测量外，还考虑补充生理变量以改善血糖控制。使用临床数据从已识别模型参数的分布中生成虚拟患者。该模拟器将能够测试和评估为自动胰岛素输送提出的新控制算法，以及针对具有不确定性、时变参数和延迟的非线性系统的各种控制算法。
