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Nonlinear Control for Blood Glucose Regulation of Diabetic Patients: An LMI-Based Approach exposes readers to the various existing mathematical models that define the dynamics of glucose-insulin for Type 1 diabetes patients. After providing insights into the mathematical model of patients, the authors discuss the need and emergence of new control techniques that can lead to further development of an artificial pancreas. The book presents various nonlinear control techniques to address the challenges that Type 1 diabetic patients face in maintaining their blood glucose level in the safe range (70-180 mg/dl). The closed-loop solution provided by the artificial pancreas depends mainly on the effectiveness of the control algorithm, which acts as the brain of the system. APS control algorithms require a mathematical model of the gluco-regulatory system of the T1D patients for their design. Since the gluco-regulatory system is inherently nonlinear and largely affected by external disturbances and parametric uncertainty, developing an accurate model is very difficult.

Blood Glucose --- Pancreas, Artificial --- Glucose Metabolism Disorders --- Glucose Metabolic Disorder --- Glucose Metabolic Disorders --- Glucose Metabolism Disorder --- Disorder, Glucose Metabolic --- Disorder, Glucose Metabolism --- Disorders, Glucose Metabolic --- Disorders, Glucose Metabolism --- Metabolic Disorder, Glucose --- Metabolic Disorders, Glucose --- Metabolism Disorder, Glucose --- Metabolism Disorders, Glucose --- Artificial Pancreas --- Blood Sugar --- Glucose, Blood --- Sugar, Blood --- Glucose --- Glycemic Index --- blood --- Blood glucose monitoring --- Nonlinear control theory. --- Technological innovations. --- Control theory --- Nonlinear theories --- Blood glucose self-monitoring --- Blood sugar monitoring --- Monitoring, Blood glucose --- Blood glucose --- Patient monitoring --- Analysis --- Diabetes. --- Artificial pancreas. --- Diabetes Mellitus --- Models, Theoretical --- Mathematical models.