Essentials of Control Techniques and Theory 1st Edition by John Billingsley – Ebook PDF Instant Download/Delivery: 978-1420091236, 1420091239
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Product details:
ISBN 10: 1420091239
ISBN 13: 978-1420091236
Author: John Billingsley
The swine flu emergency needn’t become a crisis. This critically acclaimed work provides public health officials, doctors, responders, and emergency planners with accurate current information that will help them understand the nature of an outbreak, assess risk, answer public concerns, and develop informed strategies.
Devoid of sensationalism and agenda, this CRC Press resource provides all the information needed to understand pandemic influenzas including, avian, swine, and human variations and outlines the steps needed to develop and implement prevention, stabilization, and recovery efforts as needed at the local level.
“… an amazing resource … Dr. Ryan has assembled some of the best experts in the field to guide you in understanding the threat of pandemic influenza and how it can affect you and the people you are responsible for. …” –From the foreword by Lynn A. Slepski, Captain, United States Public Health Service
Make certain your response to Swine Flu is proactive and informed
Edited by Jeffrey Ryan, Institute for Emergency Preparedness, this volume —
Arms planners and responders with guidance from 13 leading experts
Takes lessons from past pandemics
Covers biological and clinical aspects of influenza
Discusses pharmaceutical and non-pharmaceutical measures
Details response actions related to communication, travel, and quarantine
While the swine flu outbreak has impacted Mexico; influenza has no respect for boundaries and is already being felt up north. Despite warnings from the World Health Organization, our preparedness continues to lag. Part of the problem is that the real action must occur at the local level. Triage, care, and containment, along with maintenance of infrastructure, are functions that must be carried out by local planners and responders.
The first section reviews the history of pandemics. The middle chapters examine the biology of a virus and clinical aspects of influenza. The final chapters examine international and federal programs and discuss response at the local level, including service continuation planning and fatality management.
Table of contents:
ESSENTIALS OF CONTROL TECHNIQUES — WHAT YOU NEED TO KNOW
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Introduction: Control in a Nutshell, History, Theory, Art, and Practice
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The Origins of Control
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Early Days of Feedback
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The Origins of Simulation
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Discrete Time
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Modeling Time
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Introduction
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A Simple System
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Simulation
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Choosing a Computing Platform
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An Alternative Platform
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Solving the First Order Equation
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A Second Order Problem
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Matrix State Equations
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Analog Simulation
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Closed Loop Equations
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Simulation with JavaScript: “On-Line Learning Interactive Environment for Simulation” (Jollies)
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Introduction
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How a JavaScript On-Line Learning Interactive Environment for Simulation (Jollies) Is Made Up
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Moving Images without an Applet
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A Generic Simulation
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Practical Control Systems
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Introduction
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The Nature of Sensors
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Velocity and Acceleration
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Output Transducers
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A Control Experiment
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Adding Control
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Adding Control (continued)
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Introduction
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Vector State Equations
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Feedback
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Another Approach
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A Change of Variables
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Systems with Time Delay and the PID Controller
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Simulating the Water Heater Experiment
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Systems with Real Components and Saturating Signals — Use of the Phase Plane
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An Early Glimpse of Pole Assignment
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The Effect of Saturation
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Meet the Phase Plane
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Phase Plane for Saturating Drive
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Bang-Bang Control and Sliding Mode
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Frequency Domain Methods
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Introduction
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Sine-Wave Fundamentals
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Complex Amplitudes
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More Complex Still — Complex Frequencies
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Eigenfunctions and Gain
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A Surfeit of Feedback
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Poles and Polynomials
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Complex Manipulations
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Decibels and Octaves
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Frequency Plots and Compensators
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Second Order Responses
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Excited Poles
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Discrete Time Systems and Computer Control
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Introduction
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State Transition
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Discrete Time State Equations and Feedback
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Solving Discrete Time Equations
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Matrices and Eigenvectors
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Eigenvalues and Continuous Time Equations
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Simulation of a Discrete Time System
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A Practical Example of Discrete Time Control
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Controllers with Added Dynamics
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Controlling an Inverted Pendulum
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Deriving the State Equations
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Simulating the Pendulum
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Adding Reality
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A Better Choice of Poles
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Increasing the Realism
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Tuning the Feedback Pragmatically
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Constrained Demand
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In Conclusion
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ESSENTIALS OF CONTROL THEORY — WHAT YOU OUGHT TO KNOW
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More Frequency Domain Background Theory
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Introduction
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Complex Planes and Mappings
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The Cauchy–Riemann Equations
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Complex Integration
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Differential Equations and the Laplace Transform
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The Fourier Transform
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More Frequency Domain Methods
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Introduction
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The Nyquist Plot
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Nyquist with M-Circles
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Software for Computing the Diagrams
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The “Curly-Squares” Plot
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Completing the Mapping
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Nyquist Summary
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The Nichols Chart
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The Inverse-Nyquist Diagram
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Summary of Experimental Methods
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The Root Locus
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Introduction
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Root Locus and Mappings
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A Root Locus Plot
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Plotting with Poles and Zeroes
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Poles and Polynomials
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Compensators and Other Examples
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Conclusions
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Fashionable Topics in Control
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Introduction
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Adaptive Control
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Optimal Control
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Bang-Bang, Variable Structure, and Fuzzy Control
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Neural Nets
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Heuristic and Genetic Algorithms
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Robust Control and H-Infinity
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The Describing Function
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Lyapunov Methods
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Conclusion
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Linking the Time and Frequency Domains
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Introduction
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State-Space and Transfer Functions
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Deriving the Transfer Function Matrix
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Transfer Functions and Time Responses
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Filters in Software
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Software Filters for Data
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State Equations in the Companion Form
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Time, Frequency, and Convolution
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Delays and the Unit Impulse
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The Convolution Integral
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Finite Impulse Response Filters
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Correlation
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Conclusion
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More about Time and State Equations
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Introduction
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Juggling the Matrices
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Eigenvectors and Eigenvalues Revisited
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Splitting a System into Independent Subsystems
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Repeated Roots
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Controllability and Observability
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Practical Observers, Feedback with Dynamics
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Introduction
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The Kalman Filter
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Reduced-State Observers
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Control with Added Dynamics
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Conclusion
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Digital Control in More Detail
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Introduction
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Finite Differences — The Beta-Operator
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Meet the z-Transform
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Trains of Impulses
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Some Properties of the z-Transform
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Initial and Final Value Theorems
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Dead-Beat Response
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Discrete-Time Observers
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Relationship between z- and Other Transforms
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Introduction
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The Impulse Modulator
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Cascading Transforms
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Tables of Transforms
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The Beta and w Transforms
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Design Methods for Computer Control
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Introduction
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The Digital-to-Analog Converter (DAC) as Zero Order Hold
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Quantization
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A Position Control Example, Discrete Time Root Locus
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Discrete Time Dynamic Control — Assessing Performance
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Errors and Noise
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Disturbances
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Practical Design Considerations
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Delays and Sample Rates
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Conclusion
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Optimal Control — Nothing but the Best
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Introduction: The End Point Problem
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Dynamic Programming
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Optimal Control of a Linear System
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Time Optimal Control of a Second Order System
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Optimal or Suboptimal?
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Quadratic Cost Functions
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