Physiological Control Systems: Analysis, Simulation, and Estimation

✍ Scribed by Michael C. K. Khoo

• Publisher: Wiley-IEEE Press
• Year: 2018
• Tongue: English
• Leaves: 442
• Series: IEEE Press Series on Biomedical Engineering
• Edition: 2
• Category: Library

✦ Synopsis

A guide to common control principles and how they are used to characterize a variety of physiological mechanisms

The second edition of Physiological Control Systems offers an updated and comprehensive resource that reviews the fundamental concepts of classical control theory and how engineering methodology can be applied to obtain a quantitative understanding of physiological systems. The revised text also contains more advanced topics that feature applications to physiology of nonlinear dynamics, parameter estimation methods, and adaptive estimation and control. The author—a noted expert in the field—includes a wealth of worked examples that illustrate key concepts and methodology and offers in-depth analyses of selected physiological control models that highlight the topics presented.

The author discusses the most noteworthy developments in system identification, optimal control, and nonlinear dynamical analysis and targets recent bioengineering advances. Designed to be a practical resource, the text includes guided experiments with simulation models (using Simulink/Matlab). Physiological Control Systems focuses on common control principles that can be used to characterize a broad variety of physiological mechanisms. This revised resource:

• Offers new sections that explore identification of nonlinear and time-varying systems, and provide the background for understanding the link between continuous-time and discrete-time dynamic models
• Presents helpful, hands-on experimentation with computer simulation models
• Contains fully updated problems and exercises at the end of each chapter

Written for biomedical engineering students and biomedical scientists, Physiological Control Systems, offers an updated edition of this key resource for understanding classical control theory and its application to physiological systems. It also contains contemporary topics and methodologies that shape bioengineering research today. 

✦ Table of Contents

Content: Physiological Control Systems: Analysis, Simulation, and Estimation
Table of Contents
Preface
About the Companion Website
Chapter 1: Introduction
1.1 Preliminary Considerations
1.2 Historical Background
1.3 Systems Analysis: Fundamental Concepts
1.4 Physiological Control Systems Analysis: A Simple Example
1.5 Differences between Engineering AndPhysiological Control Systems
1.6 The Science (And Art) of Modeling
1.7 ""Systems Physiology"" Versus ""Systems Biology
Problems
Bibliography
Chapter 2: Mathematical Modeling
2.1 Generalized System Properties 2.2 Models With Combinations of System Elements2.3 Linear Models of Physiological Systems: TwoExamples
2.4 Conversions between Electrical and Mechanical Analogs
2.5 Distributed-Parameter Versus Lumped-Parameter Models
2.6 Linear Systems and the Superposition Principle
2.7 Zero-Input and Zero-State Solutions of Odes
2.8 Laplace Transforms and Transfer Functions
2.8.1 Solving ODEs with Laplace Transforms
2.9 The Impulse Response and Linear Convolution
2.10 State-Space Analysis
2.11 Computer Analysis and Simulation: Matlab and Simulink
Problems
Bibliography Chapter 3: Static Analysis of Physiological Systems3.1 Introduction
3.2 Open-Loop Versus Closed-Loop Systems
3.3 Determination of the Steady-State OperatingPoint
3.4 Steady-State Analysis Using Simulink
3.5 Regulation of Cardiac Output
3.5.1 The Cardiac Output Curve
3.5.2 The Venous Return Curve
3.5.3 Closed-Loop Analysis: Heart and Systemic Circulation Combined
3.6 Regulation of Glucose Insulin
3.7 Chemical Regulation of Ventilation
3.7.1 The Gas Exchanger
3.7.2 The Respiratory Controller
3.7.3 Closed-Loop Analysis: Lungs and Controller Combined
Problems
Bibliography Chapter 4: Time-Domain Analysis of Linear Control Systems4.1 Linearized Respiratory Mechanics: Open-Loop Versus Closed-Loop
4.2 Open-Loop Versus Closed-Loop Transient Responses: First-Order Model
4.2.1 Impulse Response
4.2.2 Step Response
4.3 Open-Loop Versus Closed-Loop Transient Responses: Second-Order Model
4.3.1 Impulse Responses
4.3.1.1 Undamped Behavior
4.3.1.2 Underdamped Behavior
4.3.1.3 Critically Damped Behavior
4.3.1.4 Overdamped Behavior
4.3.2 Step Responses
4.3.2.1 Undamped Behavior
4.3.2.2 Underdamped Behavior
4.3.2.3 Critically Damped Behavior 4.3.2.4 Overdamped Behavior4.4 Descriptors of Impulse and Step Responses
4.4.1 Generalized Second-Order Dynamics
4.4.1.1 Undamped Dynamics
4.4.1.2 Underdamped Dynamics
4.4.1.3 Critically Damped Dynamics
4.4.1.4 Overdamped Dynamics
4.4.1.5 Steady-State Error
4.4.2 Transient Response Descriptors
4.4.2.1 Impulse Response Descriptors
4.4.2.2 Step Response Descriptors
4.5 Open-Loop Versus Closed-Loop Dynamics: Other Considerations
4.5.1 Reduction of the Effects of External Disturbances
4.5.2 Reduction of the Effects of Parameter Variations
4.5.3 Integral Control

✦ Subjects

Physiology -- Mathematical models.;Biological control systems -- Mathematical models.;SCIENCE / Life Sciences / Anatomy & Physiology.