Modeling, Identification, and Control towards Adaptive Personalized Glucose Management for Insulin-Deficient Diabetes

该奖项的研究目标是开发个性化适应性胰岛素治疗的建模和控制算法。该算法可用于1型糖尿病的人工胰腺，也可用于胰岛素依赖型2型糖尿病的血糖管理。本研究将通过具有时变参数的数据驱动模型来表征患者特定的葡萄糖动态，这些参数可以根据食物摄入、身体活动和自然生活条件下的情绪基调进行调整。本研究还将开发自适应控制算法，以便更好地控制高血糖和预防低血糖。鲁棒性问题将涉及碳水化合物含量估算的不确定性、膳食摄入的不确定性延时以及胰岛素和碳水化合物敏感性的变化。可交付成果包括易于实现的胰岛素-葡萄糖动力学实时参数估计算法，胰岛素输送的自适应控制算法，通过fda批准的1型糖尿病模拟器评估和验证，研究结果的记录和工程学生教育。如果成功，本研究的结果将通过提供一种控制算法来关闭人工胰腺中葡萄糖传感和胰岛素输送之间的循环，从而促进机械人工胰腺的发展。1型或2型糖尿病患者将受益于这项研究的结果，因为它降低了许多毁灭性的长期并发症的风险。通过fda批准的模拟平台进行测试和评估后，结果可转换为用于胰岛素泵的临床试验。工科学生将通过高级设计项目以及本科和研究生水平的控制课程项目参与这项研究，例如设计用户友好的工具来帮助控制饮食和改进控制算法。

The research objective of this award is to develop modeling and control algorithms for personalized adaptive insulin therapy. The algorithms can be used in the artificial pancreas for type-1 diabetes, but also would be useful for glucose management for insulin-dependent type-2 diabetes. This research will characterize patient-specific glucose dynamics by data-driven models with time-varying parameters that can be adjusted for the effects of food intake, physical activity and emotional tone under natural living conditions. This research will also develop adaptive control algorithms that enable a better control of hyperglycemia and prevention of hypoglycemia. Robustness issues will be addressed with respect to uncertainties in estimation of carb content, uncertain time-delay of meal intake, and variations in insulin and carb sensitivities. Deliverables include easy-to-implement real-time parameter estimation algorithms for insulin-glucose kinetics, adaptive control algorithms for insulin delivery, evaluation and validation via a FDA-approved simulator for type-1 diabetes, documentation of research results, and engineering student education.If successful, the results of this research will facilitate the development of a mechanical artificial pancreas by means of providing a control algorithm used to close the loop between glucose sensing and insulin delivery in the artificial pancreas. Patients with type-1 or type-2 diabetes will benefit from the results of this research by lowering the risk of many of the devastating long-term complications. After testing and evaluation through FDA-approved simulation platforms, the results are transformable to be used in insulin pumps for clinical tests. Engineering students will get involved in this research through senior design projects as well as projects in undergraduate- and graduate-level control courses, e.g., design of user-friendly tools in aiding the control of diet and improvement of control algorithms.