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• COVER
• TITLE PAGE
• About the Authors
• Preface
• Chapter 1: Introduction to Process Control
• 1.1 REPRESENTATIVE PROCESS CONTROL PROBLEMS
• 1.2 ILLUSTRATIVE EXAMPLE—A BLENDING PROCESS
• 1.3 CLASSIFICATION OF PROCESS CONTROL STRATEGIES
• 1.4 A MORE COMPLICATED EXAMPLE—A DISTILLATION COLUMN
• 1.5 THE HIERARCHY OF PROCESS CONTROL ACTIVITIES
• 1.6 AN OVERVIEW OF CONTROL SYSTEM DESIGN
• SUMMARY
• REFERENCES
• EXERCISES
• NOTE
• Chapter 2: Theoretical Models of Chemical Processes
• 2.1 THE RATIONALE FOR DYNAMIC PROCESS MODELS
• 2.2 GENERAL MODELING PRINCIPLES
• 2.3 DEGREES OF FREEDOM ANALYSIS
• 2.4 DYNAMIC MODELS OF REPRESENTATIVE PROCESSES
• 2.5 PROCESS DYNAMICS AND MATHEMATICAL MODELS
• SUMMARY
• REFERENCES
• Simulation Software: Web Sites
• EXERCISES
• NOTE
• Chapter 3: Laplace Transforms
• 3.1 LAPLACE TRANSFORMS OF REPRESENTATIVE FUNCTIONS
• 3.2 SOLUTION OF DIFFERENTIAL EQUATIONS BY LAPLACE TRANSFORM TECHNIQUES
• 3.3 PARTIAL FRACTION EXPANSION
• 3.4 OTHER LAPLACE TRANSFORM PROPERTIES
• 3.5 A TRANSIENT RESPONSE EXAMPLE
• 3.6 SOFTWARE FOR SOLVING SYMBOLIC MATHEMATICAL PROBLEMS
• SUMMARY
• REFERENCES
• EXERCISES
• Chapter 4: Transfer Function Models
• 4.1 INTRODUCTION TO TRANSFER FUNCTION MODELS
• 4.2 PROPERTIES OF TRANSFER FUNCTIONS
• 4.3 LINEARIZATION OF NONLINEAR MODELS
• SUMMARY
• REFERENCES
• EXERCISES
• NOTE
• Chapter 5: Dynamic Behavior of First-Order and Second-Order Processes
• 5.1 STANDARD PROCESS INPUTS
• 5.2 RESPONSE OF FIRST-ORDER PROCESSES
• 5.3 RESPONSE OF INTEGRATING PROCESSES
• 5.4 RESPONSE OF SECOND-ORDER PROCESSES
• SUMMARY
• REFERENCES
• EXERCISES
• Chapter 6: Dynamic Response Characteristics of More Complicated Processes
• 6.1 POLES AND ZEROS AND THEIR EFFECT ON PROCESS RESPONSE
• 6.2 PROCESSES WITH TIME DELAYS
• 6.3 APPROXIMATION OF HIGHER-ORDER TRANSFER FUNCTIONS
• 6.4 INTERACTING AND NONINTERACTING PROCESSES
• 6.5 STATE-SPACE AND TRANSFER FUNCTION MATRIX MODELS
• 6.6 MULTIPLE-INPUT, MULTIPLE-OUTPUT (MIMO) PROCESSES
• SUMMARY
• REFERENCES
• EXERCISES
• NOTE
• Chapter 7: Development of Empirical Models from Process Data
• 7.1 MODEL DEVELOPMENT USING LINEAR OR NONLINEAR REGRESSION
• 7.2 FITTING FIRST- AND SECOND-ORDER MODELS USING STEP TESTS
• 7.3 NEURAL NETWORK MODELS
• 7.4 DEVELOPMENT OF DISCRETE-TIME DYNAMIC MODELS
• 7.5 IDENTIFYING DISCRETE-TIME MODELS FROM EXPERIMENTAL DATA
• SUMMARY
• REFERENCES
• EXERCISES
• NOTE
• Chapter 8: Feedback Controllers
• 8.1 INTRODUCTION
• 8.2 BASIC CONTROL MODES
• 8.3 FEATURES OF PID CONTROLLERS
• 8.4 DIGITAL VERSIONS OF PID CONTROLLERS
• 8.5 TYPICAL RESPONSES OF FEEDBACK CONTROL SYSTEMS
• 8.6 ON–OFF CONTROLLERS
• SUMMARY
• REFERENCES
• EXERCISES
• NOTES
• Chapter 9: Control System Instrumentation
• 9.1 SENSORS, TRANSMITTERS, AND TRANSDUCERS
• 9.2 FINAL CONTROL ELEMENTS
• 9.3 ACCURACY IN INSTRUMENTATION
• SUMMARY
• REFERENCES
• EXERCISES
• NOTE
• Chapter 10: Process Safety and Process Control
• 10.1 LAYERS OF PROTECTION
• 10.2 ALARM MANAGEMENT
• 10.3 ABNORMAL EVENT DETECTION
• 10.4 RISK ASSESSMENT
• SUMMARY
• REFERENCES
• EXERCISES
• NOTE
• Chapter 11: Dynamic Behavior and Stability of Closed-Loop Control Systems
• 11.1 BLOCK DIAGRAM REPRESENTATION
• 11.2 CLOSED-LOOP TRANSFER FUNCTIONS
• 11.3 CLOSED-LOOP RESPONSES OF SIMPLE CONTROL SYSTEMS
• 11.4 STABILITY OF CLOSED-LOOP CONTROL SYSTEMS
• 11.5 ROOT LOCUS DIAGRAMS
• SUMMARY
• REFERENCES
• EXERCISES
• NOTE
• Chapter 12: PID Controller Design, Tuning, and Troubleshooting
• 12.1 PERFORMANCE CRITERIA FOR CLOSED-LOOP SYSTEMS
• 12.2 MODEL-BASED DESIGN METHODS
• 12.3 CONTROLLER TUNING RELATIONS
• 12.4 CONTROLLERS WITH TWO DEGREES OF FREEDOM
• 12.5 ON-LINE CONTROLLER TUNING
• 12.6 GUIDELINES FOR COMMON CONTROL LOOPS
• 12.7 TROUBLESHOOTING CONTROL LOOPS
• SUMMARY
• REFERENCES
• EXERCISES
• NOTES
• Chapter 13: Control Strategies at the Process Unit Level
• 13.1 DEGREES OF FREEDOM ANALYSIS FOR PROCESS CONTROL
• 13.2 SELECTION OF CONTROLLED, MANIPULATED, AND MEASURED VARIABLES
• 13.3 APPLICATIONS
• SUMMARY
• REFERENCES
• EXERCISES
• Chapter 14: Frequency Response Analysis and Control System Design
• 14.1 SINUSOIDAL FORCING OF A FIRST-ORDER PROCESS
• 14.2 SINUSOIDAL FORCING OF AN nTH-ORDER PROCESS
• 14.3 BODE DIAGRAMS
• 14.4 FREQUENCY RESPONSE CHARACTERISTICS OF FEEDBACK CONTROLLERS
• 14.5 NYQUIST DIAGRAMS
• 14.6 BODE STABILITY CRITERION
• 14.7 GAIN AND PHASE MARGINS
• SUMMARY
• REFERENCES
• EXERCISES
• Chapter 15: Feedforward and Ratio Control
• 15.1 INTRODUCTION TO FEEDFORWARD CONTROL
• 15.2 RATIO CONTROL
• 15.3 FEEDFORWARD CONTROLLER DESIGN BASED ON STEADY-STATE MODELS
• 15.4 FEEDFORWARD CONTROLLER DESIGN BASED ON DYNAMIC MODELS
• 15.5 THE RELATIONSHIP BETWEEN THE STEADY-STATE AND DYNAMIC DESIGN METHODS
• 15.6 CONFIGURATIONS FOR FEEDFORWARD–FEEDBACK CONTROL
• 15.7 TUNING FEEDFORWARD CONTROLLERS
• SUMMARY
• REFERENCES
• EXERCISES
• Chapter 16: Enhanced Single-Loop Control Strategies
• 16.1 CASCADE CONTROL
• 16.2 TIME-DELAY COMPENSATION
• 16.3 INFERENTIAL CONTROL
• 16.4 SELECTIVE CONTROL/OVERRIDE SYSTEMS
• 16.5 NONLINEAR CONTROL SYSTEMS
• 16.6 ADAPTIVE CONTROL SYSTEMS
• SUMMARY
• REFERENCES
• EXERCISES
• Chapter 17: Digital Sampling, Filtering, and Control
• 17.1 SAMPLING AND SIGNAL RECONSTRUCTION
• 17.2 SIGNAL PROCESSING AND DATA FILTERING
• 17.3 z-TRANSFORM ANALYSIS FOR DIGITAL CONTROL
• 17.4 TUNING OF DIGITAL PID CONTROLLERS
• 17.5 DIRECT SYNTHESIS FOR DESIGN OF DIGITAL CONTROLLERS
• 17.6 MINIMUM VARIANCE CONTROL
• SUMMARY
• REFERENCES
• EXERCISES
• Chapter 18: Multiloop and Multivariable Control
• 18.1 PROCESS INTERACTIONS AND CONTROL LOOP INTERACTIONS
• 18.2 PAIRING OF CONTROLLED AND MANIPULATED VARIABLES
• 18.3 SINGULAR VALUE ANALYSIS
• 18.4 TUNING OF MULTILOOP PID CONTROL SYSTEMS
• 18.5 DECOUPLING AND MULTIVARIABLE CONTROL STRATEGIES
• 18.6 STRATEGIES FOR REDUCING CONTROL LOOP INTERACTIONS
• SUMMARY
• REFERENCES
• EXERCISES
• Chapter 19: Real-Time Optimization
• 19.1 BASIC REQUIREMENTS IN REAL-TIME OPTIMIZATION
• 19.2 THE FORMULATION AND SOLUTION OF RTO PROBLEMS
• 19.3 UNCONSTRAINED AND CONSTRAINED OPTIMIZATION
• 19.4 LINEAR PROGRAMMING
• 19.5 QUADRATIC AND NONLINEAR PROGRAMMING
• SUMMARY
• REFERENCES
• EXERCISES
• Chapter 20: Model Predictive Control
• 20.1 OVERVIEW OF MODEL PREDICTIVE CONTROL
• 20.2 PREDICTIONS FOR SISO MODELS
• 20.3 PREDICTIONS FOR MIMO MODELS
• 20.4 MODEL PREDICTIVE CONTROL CALCULATIONS
• 20.5 SET-POINT CALCULATIONS
• 20.6 SELECTION OF DESIGN AND TUNING PARAMETERS
• 20.7 IMPLEMENTATION OF MPC
• SUMMARY
• REFERENCES
• EXERCISES
• NOTE
• Chapter 21: Process Monitoring
• 21.1 TRADITIONAL MONITORING TECHNIQUES
• 21.2 QUALITY CONTROL CHARTS
• 21.3 EXTENSIONS OF STATISTICAL PROCESS CONTROL
• 21.4 MULTIVARIATE STATISTICAL TECHNIQUES
• 21.5 CONTROL PERFORMANCE MONITORING
• SUMMARY
• REFERENCES
• EXERCISES
• NOTES
• Chapter 22: Batch Process Control
• 22.1 BATCH CONTROL SYSTEMS
• 22.2 SEQUENTIAL AND LOGIC CONTROL
• 22.3 CONTROL DURING THE BATCH
• 22.4 RUN-TO-RUN CONTROL
• 22.5 BATCH PRODUCTION MANAGEMENT
• SUMMARY
• REFERENCES
• EXERCISES
• NOTES
• Chapter 23: Biosystems Control Design
• 23.1 PROCESS MODELING AND CONTROL IN PHARMACEUTICAL OPERATIONS
• 23.2 PROCESS MODELING AND CONTROL FOR DRUG DELIVERY
• SUMMARY
• REFERENCES
• EXERCISES
• Chapter 24: Dynamics and Control of Biological Systems
• 24.1 SYSTEMS BIOLOGY
• 24.2 GENE REGULATORY CONTROL
• 24.3 SIGNAL TRANSDUCTION NETWORKS
• SUMMARY
• GLOSSARY
• REFERENCES
• EXERCISES
• NOTE
• Appendix A: Digital Process Control Systems: Hardware and Software
• A.1 DISTRIBUTED DIGITAL CONTROL SYSTEMS
• A.2 ANALOG AND DIGITAL SIGNALS AND DATA TRANSFER
• A.3 MICROPROCESSORS AND DIGITAL HARDWARE IN PROCESS CONTROL
• A.4 SOFTWARE ORGANIZATION
• REFERENCES
• NOTES
• Appendix B: Review of Thermodynamic Concepts for Conservation Equations
• B.1 SINGLE-COMPONENT SYSTEMS
• B.2 MULTICOMPONENT SYSTEMS
• REFERENCE
• Appendix C: Control Simulation Software
• C.1 MATLAB OPERATIONS AND EQUATION SOLVING
• C.2 COMPUTER SIMULATION WITH SIMULINK
• C.3 COMPUTER SIMULATION WITH LabVIEW
• REFERENCES
• NOTE
• Appendix D: Instrumentation Symbols
• REFERENCES
• Appendix E: Process Control Modules
• E.1 INTRODUCTION
• E.2 MODULE ORGANIZATION
• E.3 HARDWARE AND SOFTWARE REQUIREMENTS
• E.4 INSTALLATION
• E.5 RUNNING THE SOFTWARE
• REFERENCES
• Appendix F: Review of Basic Concepts From Probability and Statistics
• F.1 PROBABILITY CONCEPTS
• F.2 MEANS AND VARIANCES
• F.3 STANDARD NORMAL DISTRIBUTION
• F.4 ERROR ANALYSIS
• REFERENCES
• Index
• End User License Agreement