With diabetes affecting 7 % of the United States population, and 180 million people worldwide, there is a lot of interest in the development of more advanced and effective diabetes treatment methods. This paper presents a literature review of recently-published research that is working toward the development of a wearable closed-loop controller for glucose regulation. A variety of approaches to modeling diabetes and applying closed-loop control to this problem are presented and analyzed with respect to some of the major challenges that are involved. The major challenges discussed are the complexity of the glucose-insulin dynamics in the human body, the site-specific insulin dynamics, and the accuracy and precision of the technology involved. The approaches that are discussed include traditional PID controllers, an innovative neural network modeling technique, model reference adaptive control, robust parameter estimation, and a PID switching control strategy
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