Nonlinear Control for Blood Glucose Regulation of Diabetic Patients: An LMI-Based Approach

Author: Anirudh Nath

Publication Date: August 13, 2022

Language: English

ISBN: 9780323907767, 9780323907774

Publisher: Elsevier Science

Book Overview:

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 emphasizes the need for new control techniques that can lead to further development of an artificial pancreas, which is crucial for maintaining blood glucose levels within the safe range (70-180 mg/dl) for Type 1 diabetic patients.

Key Features:

– Presents control-oriented modeling of the gluco-regulatory system of Type 1 diabetic patients using input-output data.

– Demonstrates the 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).

– Introduces readers to the relevance and effectiveness of powerful nonlinear controllers for the Artificial Pancreas.

– Provides the first book on LMI-based nonlinear control techniques for the Artificial Pancreas.

Why This Book Matters:

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.

Target Audience:

This book is essential for researchers, engineers, and medical professionals working on the development of the artificial pancreas and other control systems for managing diabetes. It provides a comprehensive understanding of the challenges and opportunities in creating an effective artificial pancreas, making it a valuable resource for those in the field.

Conclusion:

Nonlinear Control for Blood Glucose Regulation of Diabetic Patients: An LMI-Based Approach is a groundbreaking book that offers insights into the latest advancements in the field of diabetes management. By providing a detailed exploration of control-oriented modeling, robust insulin delivery mechanisms, and LMI-based nonlinear control techniques, this book sets a new standard for understanding and addressing the complex challenges of Type 1 diabetes.