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Process Control


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Table of Contents

1 Introduction to Process Control 2 Control Objectives and Benefits 3 Mathematical Modeling Principles 4 Modeling and Analysis for Process Control 5 Dynamic Behavior of Typical Process Systems 6 Empirical Model Identification 7 The Feedback Loop 8 The Proportional-Integral-Derivative (PID) Algorithm 9 PID Controller Tuning for Dynamic Performance 10 Stability Analysis and Controller Tuning 11 Digital Implementation of Process Control 12 Practical Application of Feedback Control 13 Performance of Feedback Control Systems 14 Cascade Control 15 Feedforward Control 16 Adapting Single-Loop Control Systems for Non-Linear Processes 17 Inferential Control 18 Level and Inventory Control 19 Single-Variable Model Predictive Control 20 Multiloop ControlEffects of Interaction 21 Multiloop Control Performance Analysis 22 Variable Structure and Constraint Control 23 Centralized Multivariable Control 24 Process Control Design Definition and Decisions 25 Process Control Design Managing the Design Procedure 26 Control for Product Quality and Profit Appendices

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