Nonlinear Control for Blood Glucose Regulation of Diabetic Patients: An LMI Approach: Advanced Studies in Complex Systems
Autor Anirudh Nath, Rajeeb Dey, Valentina Emilia Balasen Limba Engleză Paperback – 17 aug 2022
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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Specificații
ISBN-13: 9780323907767
ISBN-10: 0323907768
Pagini: 162
Ilustrații: 65 illustrations (35 in full color)
Dimensiuni: 191 x 235 x 13 mm
Greutate: 0.29 kg
Editura: ELSEVIER SCIENCE
Seria Advanced Studies in Complex Systems
ISBN-10: 0323907768
Pagini: 162
Ilustrații: 65 illustrations (35 in full color)
Dimensiuni: 191 x 235 x 13 mm
Greutate: 0.29 kg
Editura: ELSEVIER SCIENCE
Seria Advanced Studies in Complex Systems
Public țintă
Students, educators, and researchers in biomedical engineering and control engineering, and electrical engineering, as well as researchers and diabetic clinicians in labs involved in the development of improved insulin therapy as well as the Artificial Pancreas systemCan be used for graduate-level courses in biomedical control
Cuprins
Section 1: Introduction
1. The History, Present & Future progression of Artificial Pancreas
2. Biomedical Control & its importance in Artificial Pancreas
3. A brief discussion in Nonlinear Control Tools
Section 2: Type 1 Diabetes: Control Oriented Modelling
4. A review on the existing Artificial pancreas Models
5. Developing and validating Nonlinear Models based on Input-Output data
Section 3: State Estimation via Robust Nonlinear Observers
6. Mathematical formulation of Robust Nonlinear Observers
7. State Estimation
Section 4: Design of Robust Nonlinear Control Techniques
8. Design of Nonlinear Control Technique based on Feedback Linearization
9. Design of Robust LMI based Control Techniques
10. Conclusions
Section 5: Proposed Architecture for In-Silico Artificial Pancreas
11. Sensors and Actuators
12. Integrated (in-silico) Model of Artificial Pancreas
1. The History, Present & Future progression of Artificial Pancreas
2. Biomedical Control & its importance in Artificial Pancreas
3. A brief discussion in Nonlinear Control Tools
Section 2: Type 1 Diabetes: Control Oriented Modelling
4. A review on the existing Artificial pancreas Models
5. Developing and validating Nonlinear Models based on Input-Output data
Section 3: State Estimation via Robust Nonlinear Observers
6. Mathematical formulation of Robust Nonlinear Observers
7. State Estimation
Section 4: Design of Robust Nonlinear Control Techniques
8. Design of Nonlinear Control Technique based on Feedback Linearization
9. Design of Robust LMI based Control Techniques
10. Conclusions
Section 5: Proposed Architecture for In-Silico Artificial Pancreas
11. Sensors and Actuators
12. Integrated (in-silico) Model of Artificial Pancreas