TY - BOOK ID - 103615056 TI - Nonlinear control for blood glucose regulation of diabetic patients AU - NATH, ANIRUDH AU - Dey, Rajeeb AU - Balas, Valentina E PY - 2022 SN - 0323907768 0323907776 9780323907774 9780323907767 PB - London Academic Press DB - UniCat KW - Blood Glucose KW - Pancreas, Artificial KW - Glucose Metabolism Disorders KW - Glucose Metabolic Disorder KW - Glucose Metabolic Disorders KW - Glucose Metabolism Disorder KW - Disorder, Glucose Metabolic KW - Disorder, Glucose Metabolism KW - Disorders, Glucose Metabolic KW - Disorders, Glucose Metabolism KW - Metabolic Disorder, Glucose KW - Metabolic Disorders, Glucose KW - Metabolism Disorder, Glucose KW - Metabolism Disorders, Glucose KW - Artificial Pancreas KW - Blood Sugar KW - Glucose, Blood KW - Sugar, Blood KW - Glucose KW - Glycemic Index KW - blood KW - Blood glucose monitoring KW - Nonlinear control theory. KW - Technological innovations. KW - Control theory KW - Nonlinear theories KW - Blood glucose self-monitoring KW - Blood sugar monitoring KW - Monitoring, Blood glucose KW - Blood glucose KW - Patient monitoring KW - Analysis KW - Diabetes. KW - Artificial pancreas. KW - Diabetes Mellitus KW - Models, Theoretical KW - Mathematical models. UR - https://www.unicat.be/uniCat?func=search&query=sysid:103615056 AB - 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. ER -