Description

Book Synopsis


Table of Contents
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

Nonlinear Control for Blood Glucose Regulation of

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A Paperback by Anirudh Nath, Rajeeb Dey, Valentina Emilia Balas

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    Publisher: Elsevier Science
    Publication Date: 8/18/2022 12:00:00 AM
    ISBN13: 9780323907767, 978-0323907767
    ISBN10: 0323907768
    Also in:
    Biomedical engineering / Medical engineering Medicine: Diabetes Technology, Engineering & Agriculture Biotechnology

    Description

    Book Synopsis


    Table of Contents
    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

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