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Introduction To Process Control | |
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Introduction to Process Control | |
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Representative Process Control Problems | |
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Illustrative Example | |
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Classification of Process Control Strategies | |
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A More Complicated Example--A Distillation Column | |
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The Hierarchy of Process Control Activities | |
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An Overview of Control System Design | |
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Theoretical Models of Chemical Processes | |
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The Rationale for Process Modeling | |
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General Modeling Principles | |
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Degrees of Freedom Analysis | |
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Dynamic Models of Representative Processes | |
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Solution of Dynamic Models and the Use of Digital Simulators | |
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Dynamic Behavior Of Processes | |
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Laplace Transforms | |
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The Laplace Transform of Representative Functions | |
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Solution of Differential Equations by Laplace Transform Techniques | |
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Partial Fraction Expansion | |
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Other Laplace Transform Properties | |
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A Transient Response Example | |
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Transfer Function and State-Space Models | |
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Illustrative Example: A Continuous Blending System | |
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Transfer Functions of Complicated Models | |
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Properties of Transfer Functions | |
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Linearization of Nonlinear Models | |
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Dynamic Behavior of First-Order and Second-Order Processes | |
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Standard Process Inputs | |
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Response of First-Order Processes | |
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Response of Integrating Processes | |
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Response of Second-Order Processes | |
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Dynamic Response Characteristics of More Complicated Processes | |
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Poles and Zeros and Their Effect on Process Response | |
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Processes with Time Delays | |
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Approximation of Higher-Order Transfer Functions | |
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Interacting and Noninteracting Processes | |
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State-Space and Transfer Function Matrix Models | |
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Multiple-Input, Multiple-Output (MIMO) Processes | |
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Development of Empirical Dynamic Models from Process Data | |
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Model Development Using Linear or Nonlinear Regression | |
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Methods for Fitting First-Order and Second-Order Models Using Step Tests | |
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Neural Network Models. Development of Discrete-Time Dynamic Models. Identifying Discrete-Time Models from Experimental Data | |
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Control System Design Analysis | |
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Feedback Controllers | |
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Introduction | |
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Basic Control Modes | |
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Features of PID Controllers | |
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On-Off Controllers | |
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Typical Responses of Feedback Control Systems | |
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Digital Versions of PID Controllers | |
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Control System Instrumentation | |
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Sensors, Transmitters, and Transducers | |
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Final Control Elements | |
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Signal Transmission and Digital Communication | |
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Accuracy in Instrumentation | |
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Process Safety and Process Control | |
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Layers of Protection | |
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Alarm Management | |
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Abnormal Event Detection | |
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Risk Assessment | |
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Dynamic Behavior and Stability of Closed-Loop Control Systems | |
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Block Diagram Representation | |
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Closed-Loop Transfer Functions | |
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Closed Loop Responses of Simple Control Systems | |
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Stability Criteria | |
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Pole-Zero Diagrams | |
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PID Controller Design, Tuning, and Troubleshooting | |
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Introduction | |
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The Influence of Process Design on Process Control | |
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Model-Based Design Methods | |
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Controller Tuning Relations | |
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On-Line Controller Tuning | |
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Guidelines for Common Control Loops | |
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Troubleshooting Control Loops | |
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Control at the Process Unit Level | |
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Degrees of Freedom for Process Control | |
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Selection of Controlled, Manipulated, and Measured Variables | |
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Case Studies | |
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Frequency Response Analysis and Control System Design | |
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Sinusoidal Forcing of a First-Order Process | |
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Sinusoidal Forcing of an nth-Order Process | |
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Bode Diagrams | |
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Frequency Response Characteristics of Feedback Controllers | |
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Bode Stability Criterion | |
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Gain and Phase Margins | |
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Feedforward and Ratio Control | |
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Introduction to Feedforward Control | |
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Ratio Control | |
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Feedforward Controller Design Based on Steady-State Models | |
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Controller Design Based on Dynamic Models | |
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The Relationship Between the Steady-State and Dynamic Design Methods | |
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Configurations for Feedforward-Feedback Control | |
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Tuning Feedforward Controllers | |
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Advanced Process Control | |
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Enhanced Single-Loop Control Strategies | |
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Cascade Control | |
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Time-Delay Compensation | |
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Inferential Control | |
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Selective Control/Override Systems | |
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Nonlinear Control Systems | |
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Adaptive Control Systems | |
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Digital Sampling, Filtering, and Control | |
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Sampling and Signal Reconstruction | |
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Signal Processing and Data Filtering | |
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z-Transform Analysis for Digital Control | |
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Digital PID and Related Controllers | |
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Direct Synthesis for Design of Digital Controllers | |
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Minimum Variance Control | |
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Multiloop and Multivariable Control | |
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Process Interactions and Control Loop Interactions | |
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Pairing of Controlled and Manipulated Variables | |
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Singular Value Analysis | |
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Tuning of Multiloop PID Control Systems | |
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Decoupling and Multivariable Control Strategies | |
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Strategies for Reducing Control Loop Interactions | |
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Real-Time Optimization | |
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Basic Requirements in Real-Time Optimization | |
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The Formulation and Solution of RTO Problems | |
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Unconstrained Optimization | |
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Linear Programming | |
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Quadratic Programming/Nonlinear Programming | |
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Model Predictive Control | |
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Overview of Model Predictive Control | |
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Predictions for SISO Models | |
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Predictions for MIMO Models | |
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Model Predictive Control Calculations | |
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Set-Point Calculations | |
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Selection of Design and Tuning Parameters | |
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Implementation of MPC | |
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Process Monitoring | |
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Traditional Monitoring Techniques | |
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Quality Control Charts | |
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Extensions of Statistical Process Control | |
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Multivariate Statistical Techniques | |
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Control Performance Monitoring | |
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Batch Process Control | |
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Batch Control Systems | |
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Sequential and Logic Control | |
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During the Batch Control | |
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Applications To Biological Systems | |
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Biosystems Control Design | |
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Dynamics and Control of Biological Systems | |
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Digital Process Control Systems: Hardware and Software | |
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Review of Thermodynamics Concepts for Conservation Equations | |
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Control Simulation Software | |
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Instrumentation Symbols | |
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Process Control Modules | |
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Review of Basic Concepts from Probability and Statistics | |