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Model Predictive Control

  • Eduardo F. Camacho
  • Carlos Bordons

Table of contents

  1. Front Matter
    Pages i-xvii
  2. Eduardo F. Camacho, Carlos Bordons
    Pages 1-11
  3. Eduardo F. Camacho, Carlos Bordons
    Pages 13-31
  4. Eduardo F. Camacho, Carlos Bordons
    Pages 33-50
  5. Eduardo F. Camacho, Carlos Bordons
    Pages 51-83
  6. Eduardo F. Camacho, Carlos Bordons
    Pages 85-130
  7. Eduardo F. Camacho, Carlos Bordons
    Pages 131-166
  8. Eduardo F. Camacho, Carlos Bordons
    Pages 167-207
  9. Eduardo F. Camacho, Carlos Bordons
    Pages 209-228
  10. Eduardo F. Camacho, Carlos Bordons
    Pages 229-257
  11. Back Matter
    Pages 259-280

About this book

Introduction

In recent years Model Predictive Control (MPC) schemes have established themselves as the preferred control strategy for a large number of processes. Their ability to handle constraints and multivariable processes and their intuitive way of posing the pro cess control problem in the time domain are two reasons for their popularity. This volume by authors of international repute provides an extensive review concerning the theoretical and practical aspects of predictive controllers. It describes the most commonly used MPC strategies, especially Generalised Predictive Control (GPC), showing both their theoretical properties and their practical implementation issues. Topics such as multivariable MPC, constraint handling, stability and robustness properties are thoroughly analysed in this text.

Keywords

Constraint Control Engineering Industrial Application Model Predictive Control Modelling Robustness TB Adopted algorithms control model optimization programming stability

Authors and affiliations

  • Eduardo F. Camacho
    • 1
  • Carlos Bordons
    • 1
  1. 1.Escuela Superior de IngenierosUniversidad de SevillaSevillaSpain

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4471-3398-8
  • Copyright Information Springer-Verlag London 1999
  • Publisher Name Springer, London
  • eBook Packages Springer Book Archive
  • Print ISBN 978-3-540-76241-6
  • Online ISBN 978-1-4471-3398-8
  • Series Print ISSN 1439-2232
  • Series Online ISSN 2510-3814
  • Buy this book on publisher's site
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