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.
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