Physiological
Control Systems - Analysis,
Simulation,
and Estimation (2000)
by Michael C.K. Khoo, Ph.D.
and Estimation (2000)
by Michael C.K. Khoo, Ph.D.
Physiological
Control Systems - Analysis,
Simulation, and Estimation was
published as a part of the
IEEE Press Series on Biomedical Engineering (2000). Written by Dr.
Michael C. K. Khoo, the book's primary goals are to highlight the basic
techniques employed in control theory, systems analysis, and model
identification, and to give the biomedical engineering student an
appreciation of how these principles can be applied to better
understand the processes involved in physiological regulation. The
assumption made here is that the book would be used in a one-semester
course on physiological control systems or physiological systems
analysis taken by undergraduates in the junior or senior year. The book
and its accompanying programs may also prove to be a useful resource
for first-year biomedical engineering graduate students, as well as
interested life science or clinical researchers who have had little
formal training in systems or control theory. Throughout, the book
emphasizes the physiological applications of control engineering,
focusing in particular on the analysis of feedback regulation.
|
Table of Contents |
| Introduction
Historical Background Systems Analysis: Fundamental Concepts Physiological Control Systems Analysis: A Simple Example Differences Between Engineering and Physiological Control Systems The Science (and Art) of Modeling |
| Mathematical
Modeling Generalized System Properties Models with Combinations of System Elements Linear Models of Physiological Systems: Two Examples Distributed-Parameter versus Lumped-Parameter Models Linear Systems and the Superposition Principle Laplace Transforms and Transfer Functions The Impulse Response and Linear Convolution State-Space Analysis Computer Analysis and Simulation-MATLAB and SIMULINK |
| Static
Analysis of Physiological Systems Open-Loop versus Closed-Loop Systems Determination of the Steady-State Operating Point Steady-State Analysis Using SIMULINK Regulation of Cardiac Output Regulation of Glucose Chemical Regulation of Ventilation |
| Time-Domain
Analysis of Linear Control Systems
Linearized Respiratory Mechanics: Open-Loop versus Closed-Loop Open-Loop and Closed-Loop Transient Responses: First-Order Model Open-Loop and Closed-Loop Transient Responses: Second-Order Model Descriptors of Impulse and Step Responses Open-Loop versus Closed-Loop Dynamics: Other Considerations Transient Response Analysis Using MATLAB SIMULINK Application: Dynamics of Neuromuscular Reflex Motion |
| Frequency
Domain Analysis of Linear Control Systems
Steady-State Responses to Sinusoidal Inputs Graphical Representations of Frequency Response Frequency-Domain Analysis Using MATLAB and SIMULINK Frequency Response of a Model of Circulatory Control Frequency Response of Glucose-Insulin Regulation |
| Stability
Analysis: Linear Approaches Stability and Transient Response Root Locus Plots Routh-Hurwitz Stability Criterion Nyquist Criterion for Stability Relative Stability Stability Analysis of the Pupillary Light Reflex Model of Cheyne-Stokes Breathing |
| Identification
of Physiological Control Systems
Basic Problems in Physiological System Analysis Nonparametric and Parametric Identification Methods Problems in Parameter Estimation: Identifiability and Input Design Identification of Closed-Loop Systems: "Opening the Loop" Identification Under Closed-Loop Conditions: Case Studies |
| Optimization
in Physiological Control Optimization in Systems with Negative Feedback Single-Parameter Optimization: Control of Respiratory Frequency Constrained Optimization: Airflow Pattern Regulation Constrained Optimization: Control of Aortic Flow Pulse Adaptive Control of Physiological Variables |
| Nonlinear
Analysis of Physiological Control Systems
Nonlinear versus Linear Closed-Loop Systems Phase-Plane Analysis Nonlinear Oscillators The Describing Function Method Models of Neuronal Dynamics |
| Complex
Dynamics in Physiological Control Systems
Spontaneous Variability Nonlinear Control Systems with Delayed Feedback Coupled Nonlinear Oscillators: Model of Circadian Rhythms Time-Varying Physiological Closed-Loop Systems: Sleep Apnea Model Propagation of System Noise in Feedback Loops |



