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Textbook Resource

Introduction to Process Control

Third Edition

The purpose of this publication is to engage students and professionals into Process Controls basics. It provides a bridge between the traditional view of process control and the current, expanded role by integrating conventional topics with a broader perspective of more integrated process operation, control, and information systems.

Introduction to Process Control Third Edition book cover

Teaching and Learning Principles

  • Presents a concept first followed by an example, allowing students to grasp theoretical concepts in a practical manner.
  • Uses the same problem in each chapter, culminating in a complete control design strategy.
  • The new edition includes 50 percent more exercises.
  • Draws on the authors’ combined 50 years of teaching experience for students and industrial practitioners.

Content

  • Defines the traditional and expanded roles of process control in modern manufacturing.
  • Introduces the link between process optimization and process control, including optimizing control.
  • Incorporates modern architectures of industrial computer control systems with case studies and pilot-scale applications.
  • Discusses model-centric technologies and integrated control systems.
  • Integrates data processing, reconciliation, and intelligent monitoring in the overall control system architecture.

About the Authors

Prof. José A. Romagnoli

The Cain Chair in Process Systems Engineering in the Department of Chemical Engineering and director of the Laboratory for Process Systems Engineering at Louisiana State University. He has authored more than 300 international publications. His research covers process systems engineering, advanced model-based control, intelligent process monitoring and supervision, and plant-wide optimization.

Prof. Ahmet Palazoglu

Professor of chemical engineering and materials science at the University of California, Davis. He has authored more than 150 publications and taught short courses to academic and industrial audiences on process monitoring applications. His research interests include process control, nonlinear dynamics, process monitoring, and statistical modeling.