Model Predictive Control
eBook - ePub

Model Predictive Control

  1. English
  2. ePUB (mobile friendly)
  3. Available on iOS & Android
eBook - ePub

Model Predictive Control

About this book

Model Predictive Control

Understand the practical side of controlling industrial processes

Model Predictive Control (MPC) is a method for controlling a process according to given parameters, derived in many cases from empirical models. It has been widely applied in industrial units to increase revenue and promoting sustainability. Systematic overviews of this subject, however, are rare, and few draw on direct experience in industrial settings.

Assuming basic knowledge of the relevant mathematical and algebraic modeling techniques, the book's title combines foundational theories of MPC with a thorough sense of its practical applications in an industrial context. The result is a presentation uniquely suited to rapid incorporation in an industrial workplace.

Model Predictive Control readers will also find:

  • Two-part organization to balance theory and applications
  • Selection of topics directly driven by industrial demand
  • An author with decades of experience in both teaching and industrial practice

This book is ideal for industrial control engineers and researchers looking to understand MPC technology, as well as advanced undergraduate and graduate students studying predictive control and related subjects.

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Yes, you can access Model Predictive Control by Baocang Ding,Yuanqing Yang in PDF and/or ePUB format, as well as other popular books in Biological Sciences & System Theory. We have over one million books available in our catalogue for you to explore.

Information

Table of contents

  1. Cover
  2. Table of Contents
  3. Title Page
  4. Copyright
  5. About the Authors
  6. Preface
  7. Acronyms
  8. Introduction
  9. 1 Concepts
  10. 2 Parameter Estimation and Output Prediction
  11. 3 Steady‐State Target Calculation
  12. 4 Two‐Layered DMC for Stable Processes
  13. 5 Two‐Layered DMC for Stable and Integral Processes
  14. 6 Two‐Layered DMC for State‐Space Model
  15. 7 Offset‐Free, Nonlinearity and Variable Structure in Two‐Layered MPC
  16. 8 Two‐Step Model Predictive Control for Hammerstein Model
  17. 9 Heuristic Model Predictive Control for LPV Model
  18. 10 Robust Model Predictive Control
  19. 11 Output Feedback Robust Model Predictive Control
  20. References
  21. Index
  22. End User License Agreement