Predictive Functional Control

Principles and Industrial Applications

  • Jacques Richalet
  • Donal O'Donovan

Part of the Advances in Industrial Control book series (AIC)

Table of contents

  1. Front Matter
    Pages i-xxii
  2. Pages 11-21
  3. Pages 23-29
  4. Pages 31-69
  5. Pages 71-92
  6. Pages 93-102
  7. Pages 135-144
  8. Pages 145-156
  9. Pages 157-200
  10. Pages 201-205
  11. Back Matter
    Pages 207-223

About this book


The demands of the modern economic climate have led to a dramatic increase in the industrial application of model-based predictive control techniques. In fact, apart from PID, predictive control is probably the most popular control approach in use today.

The predictive functional control (PFC) technique was first used to develop a model-based predictive controller that was easy to understand, implement and tune from an instrumentation engineer’s perspective. In the forty years since, there have been thousands of successful applications of PFC controllers in a large and diverse group of industries.

Predictive Functional Control provides the reader with:

• a fundamental understanding of the principles associated with PFC;

• the basic PFC control equations to be implemented in all programmable logic controllers or digital control systems in block programming form; and

• tuning rules and implementation procedures.

In addition, some new features arising from the needs of the process industries are reported along with many examples of industrial applications.

This book is intended for technical staff in the process industries, familiar with classical control techniques, who need to take up the challenges posed by today’s economic environment; engineering graduate students requiring a background in modern control techniques; and industrial managers who require an overview of the PFC technique with a view to assessing its suitability for use in future projects.


Automotive Systems Control Control Applications Control Engineering Controller Implementation Fundament HVAC Manufacturing Modelling Predictive Control Process Control Process Engineering Stab Water Treatment

Authors and affiliations

  • Jacques Richalet
    • 1
  • Donal O'Donovan
    • 2
  1. 1.LouveciennesFrance
  2. 2.Department of Electronic EngineeringCork Institute of TechnologyBishopstown, CorkIreland

Bibliographic information

  • DOI
  • Copyright Information Springer London 2009
  • Publisher Name Springer, London
  • eBook Packages Engineering Engineering (R0)
  • Print ISBN 978-1-84882-492-8
  • Online ISBN 978-1-84882-493-5
  • Series Print ISSN 1430-9491
  • Series Online ISSN 2193-1577
  • Buy this book on publisher's site