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Nonlinear Control For Blood Glucose Regulation Of Diabetic Patients An Lmi Approach An Lmi Approach Advanced Studies In Complex Systems 1st Edition Nath

  • SKU: BELL-54590060
Nonlinear Control For Blood Glucose Regulation Of Diabetic Patients An Lmi Approach An Lmi Approach Advanced Studies In Complex Systems 1st Edition Nath
$ 31.00 $ 45.00 (-31%)

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Nonlinear Control For Blood Glucose Regulation Of Diabetic Patients An Lmi Approach An Lmi Approach Advanced Studies In Complex Systems 1st Edition Nath instant download after payment.

Publisher: Academic Press
File Extension: PDF
File size: 4.96 MB
Pages: 162
Author: Nath, Anirudh, Dey, Rajeeb, Emilia Balas PhD, Valentina
ISBN: 9780323907767, 0323907768
Language: English
Year: 2022
Edition: 1

Product desciption

Nonlinear Control For Blood Glucose Regulation Of Diabetic Patients An Lmi Approach An Lmi Approach Advanced Studies In Complex Systems 1st Edition Nath by Nath, Anirudh, Dey, Rajeeb, Emilia Balas Phd, Valentina 9780323907767, 0323907768 instant download after payment.

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. 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

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