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Table of Contents

                            PROCESS IDENTIFICATION AND PID CONTROL
	Contents
	Preface
	Part One: Basics of Process Dynamics
		1 Mathematical Representations of Linear Processes
			1.1 Introduction to Process Control and Identification
			1.2 Properties of Linear Processes
			1.3 Laplace Transform
			1.4 Transfer Function and State-Space Systems
			Problems
		2 Simulations
			2.1 Simulating Processes Composed of Differential Equations
			2.2 Simulating Processes Including Time Delay
			2.3 Simulating Closed-Loop Control Systems
			2.4 Useful Numerical Analysis Methods
			Problems
		3 Dynamic Behavior of Linear Processes
			3.1 Low-Order Plus Time-Delay Processes
			3.2 Process Reaction Curve Method
			3.3 Poles and Zeroes
			3.4 Block Diagram
			3.5 Frequency Responses
			Problems
	Part Two: Process Control
		4 Proportional–Integral–Derivative Control
			4.1 Structure of Proportional–Integral–Derivative Controllers and Implementation in Computers/Microprocessors
			4.2 Roles of Three Parts of Proportional–Integral–Derivative Controllers
			4.3 Integral Windup
			4.4 Commercial Proportional–Integral–Derivative Controllers
			Problems
		5 Proportional–Integral–Derivative Controller Tuning
			5.1 Trial-and-Error Tuning
			5.2 Simple Process Identification Methods
			5.3 Ziegler–Nichols Tuning Rule
			5.4 Internal Model Control Tuning Rule
			5.5 Integral of the Time-Weighted Absolute Value of the Error Tuning Rule for a First-Order Plus Time-Delay Model (ITAE-1)
			5.6 Integral of the Time-Weighted Absolute Value of the Error Tuning Rule for a Second-Order Plus Time-Delay Model (ITAE-2)
			5.7 Optimal Gain Margin Tuning Rule for an Unstable Second-Order Plus Time-Delay Model (OGM-unstable)
			5.8 Model Reduction Method for Proportional–Integral–Derivative Controller Tuning
			5.9 Consideration of Modeling Errors
			5.10 Concluding Remarks
			Problems
		6 Dynamic Behavior of Closed-Loop Control Systems
			6.1 Closed-Loop Transfer Function and Characteristic Equation
			6.2 Bode Stability Criterion
			6.3 Nyquist Stability Criterion
			6.4 Gain Margin and Phase Margin
			Problems
		7 Enhanced Control Strategies
			7.1 Cascade Control
			7.2 Time-Delay Compensators
			7.3 Gain Scheduling
			7.4 Proportional–Integral–Derivative Control using Internal Feedback Loop
			Problems
	Part Three: Process Identification
		8 Process Identification Methods for Frequency Response Models
			8.1 Fourier Series
			8.2 Frequency Response Analysis and Autotuning
			8.3 Describing Function Analysis
			8.4 Fourier Analysis
			8.5 Modified Fourier Transform
			8.6 Frequency Response Analysis with Integrals
			Problems
		9 Process Identification Methods for Continuous-Time Differential Equation Models
			9.1 Identification Methods Using Integral Transforms
			9.2 Prediction Error Identification Method
			Problems
		10 Process Identification Methods for Discrete-Time Difference Equation Models
			10.1 Prediction Models: Autoregressive Exogenous Input Model and Output Error Model
			10.2 Prediction Error Identification Method for the Autoregressive Exogenous Input Model
			10.3 Prediction Error Identification Method for the Output Error Model
			10.4 Concluding Remarks
			Problems
		11 Model Conversion from Discrete-Time toContinuous-Time Linear Models
			11.1 Transfer Function of Discrete-Time Processes
			11.2 Frequency Responses of Discrete-Time Processes and Model Conversion
			Problems
	Part Four: Process Activation
		12 Relay Feedback Methods
			12.1 Conventional Relay Feedback Methods
			12.2 Relay Feedback Method to Reject Static Disturbances
			12.3 Relay Feedback Method under Nonlinearity and Static Disturbances
			12.4 Relay Feedback Method for a Large Range of Operation
			Problems
		13 Modifications of Relay Feedback Methods
			13.1 Process Activation Method Using Pulse Signals
			13.2 Process Activation Method Using Sine Signals
			Problems
	Appendix: Use of Virtual Control System
		A.1 Setup of the Virtual Control System
		A.2 Examples
	Index