Anirudh Nath,Rajeeb Dey,Valentina EmiliaBalas
Nonlinear Control for Blood Glucose Regulation of Diabetic Patients: An LMI Approach
Nonlinear Control for Blood Glucose Regulation of Diabetic Patients: An LMI Approach
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Nonlinear Control for Blood Glucose Regulation of Diabetic Patients: An LMI-Based Approach discusses the need for new control techniques to develop an artificial pancreas for Type 1 diabetes patients. It presents various nonlinear control techniques to address the challenges of maintaining blood glucose levels in the safe range. The closed-loop solution depends on the effectiveness of the control algorithm, which requires an accurate mathematical model of the gluco-regulatory system.
Format: Paperback / softback
Length: 162 pages
Publication date: 18 August 2022
Publisher: Elsevier Science & Technology
Nonlinear Control for Blood Glucose Regulation of Diabetic Patients: An LMI-Based Approach delves into the intricate realm of mathematical models that elucidate the dynamics of glucose-insulin in Type 1 diabetes patients. By providing a comprehensive understanding of the mathematical model of these individuals, the authors shed light on the pressing need and emergence of innovative control techniques that hold the potential to advance the development of an artificial pancreas. This comprehensive book presents a diverse range of nonlinear control techniques, designed to address the formidable challenges faced by Type 1 diabetic patients in effectively maintaining their blood glucose levels within the safe range of 70-180 mg/dl. The closed-loop solution provided by the artificial pancreas relies heavily on the efficacy of the control algorithm, functioning as the system's brain. However, the design of APS control algorithms necessitates the development of a mathematical model that accurately captures the complex gluco-regulatory system of T1D patients. Given the inherent nonlinearity and susceptibility to external disturbances and parametric uncertainty of the gluco-regulatory system, the task of developing an accurate model poses significant challenges.
Weight: 362g
Dimension: 192 x 235 x 13 (mm)
ISBN-13: 9780323907767
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