"Industrial Processes PID Control" ed. by Mohammad Shamsuzzoha

This volume presents a clear, multidimensional representation of proportional - integral - derivative (PID) control for both students and specialists working in the area of PID control. It mainly focuses on the theory and application of PID control in industrial processes. It incorporates recent developments in PID control technology in industrial practice. Emphasis has been given to finding the best possible approach to develop a simple and optimal solution for industrial users.

This book includes several chapters that cover a broad range of topics and priority has been given to subjects that cover real-world examples and case studies. The book is focused on approaches for controller tuning, i.e., method bases on open-loop plant tests and closed-loop experiments.

Contents
1. Data-Based Tuning of PID Controllers: A Combined Model- Reference and VRFT Method
2. Maximum Peak-Gain Margin (Mp-GM) Tuning Method for Two Degree of Freedom PID Controller
3. Optimum PI/PID Controllers Tuning via an Evolutionary Algorithm
4. Advanced Methods of PID Controller Tuning for Specified Performance
5. PID Control for Takagi-Sugeno Fuzzy Model
6. Distillation Column
7. Constraint Handling Optimal PI Controller Design for Integrating Processes: Optimization-Based Approach for Analytical Design
8. Decoupling Control and Soft Sensor Design for an Experimental Platform
9. PID Controller Design Methods for Multi-Mass Resonance System



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