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Model Predictive Control in the Process Industry

  • Eduardo Fernandez-Camacho
  • Carlos Bordons-Alba

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

Table of contents

  1. Front Matter
    Pages i-xviii
  2. Eduardo Fernandez-Camacho, Carlos Bordons-Alba
    Pages 1-8
  3. Eduardo Fernandez-Camacho, Carlos Bordons-Alba
    Pages 9-37
  4. Eduardo Fernandez-Camacho, Carlos Bordons-Alba
    Pages 39-67
  5. Eduardo Fernandez-Camacho, Carlos Bordons-Alba
    Pages 69-103
  6. Eduardo Fernandez-Camacho, Carlos Bordons-Alba
    Pages 105-128
  7. Eduardo Fernandez-Camacho, Carlos Bordons-Alba
    Pages 129-154
  8. Eduardo Fernandez-Camacho, Camacho Carlos Bordons-Alba
    Pages 155-170
  9. Eduardo Fernandez-Camacho, Carlos Bordons-Alba
    Pages 171-195
  10. Back Matter
    Pages 197-239

About this book

Introduction

Model Predictive Control is an important technique used in the process control industries. It has developed considerably in the last few years, because it is the most general way of posing the process control problem in the time domain. The Model Predictive Control formulation integrates optimal control, stochastic control, control of processes with dead time, multivariable control and future references. The finite control horizon makes it possible to handle constraints and non linear processes in general which are frequently found in industry. Focusing on implementation issues for Model Predictive Controllers in industry, it fills the gap between the empirical way practitioners use control algorithms and the sometimes abstractly formulated techniques developed by researchers. The text is firmly based on material from lectures given to senior undergraduate and graduate students and articles written by the authors.

Keywords

algorithms control model predictive control optimal control process control

Authors and affiliations

  • Eduardo Fernandez-Camacho
    • 1
  • Carlos Bordons-Alba
    • 1
  1. 1.Escuela Superior de Ingenieros Industriales, Departamento de Ingeniería de Sistemas y AutomáticaUniversidad de SevillaSevillaSpain

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4471-3008-6
  • Copyright Information Springer-Verlag London 1995
  • Publisher Name Springer, London
  • eBook Packages Springer Book Archive
  • Print ISBN 978-1-4471-3010-9
  • Online ISBN 978-1-4471-3008-6
  • Series Print ISSN 1430-9491
  • Series Online ISSN 2193-1577
  • Buy this book on publisher's site
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