Optimizing Blood Glucose Regulation for Diabetic Patients: An LMI-Based Approach

Author: Anirudh Nath

Nonlinear Control for Blood Glucose Regulation of Diabetic Patients: An LMI-Based Approach delves into the various mathematical models that define the dynamics of glucose-insulin for Type 1 diabetes patients. The book provides insights into the mathematical model of patients and discusses the need and emergence of new control techniques that can lead to further development of an artificial pancreas.

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.

Key Features:

• Control-oriented modeling of the gluco-regulatory system of Type 1 diabetic patients using input-output data
• Design of a robust insulin delivery mechanism utilizing state estimation information with parametric uncertainties and exogenous disturbance in the framework of Linear Matrix Inequality (LMI)
• Introduction to the relevance and effectiveness of powerful nonlinear controllers for the Artificial Pancreas
• First book on LMI-based nonlinear control techniques for the Artificial Pancreas

Publication Details:

Publisher: Elsevier Science

Publication Date: August 13, 2022

Language: English

ISBN: 9780323907767, 9780323907774