Control Engineering

Handbook of Model Predictive Control

Editors: Raković, Saša V., Levine, William S. (Eds.)

  • Helps readers learn state-of-the-art applications of control theory with numerous step-by-step tutorials
  • Provides a comprehensive survey of contemporary model-predictive control theory and methods
  • Illustrates solutions for a variety of optimization problems in computationally intensive control
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Buy this book

eBook $109.00
price for USA in USD (gross)
  • ISBN 978-3-319-77489-3
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $139.99
price for USA in USD
  • ISBN 978-3-319-77488-6
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
About this book

Recent developments in model-predictive control promise remarkable opportunities for designing multi-input, multi-output control systems and improving the control of single-input, single-output systems. This volume provides a definitive survey of the latest model-predictive control methods available to engineers and scientists today.

The initial set of chapters present various methods for managing uncertainty in systems, including stochastic model-predictive control. With the advent of affordable and fast computation, control engineers now need to think about using “computationally intensive controls,” so the second part of this book addresses the solution of optimization problems in “real” time for model-predictive control. The theory and applications of control theory often influence each other, so the last section of Handbook of Model Predictive Control rounds out the book with representative applications to automobiles, healthcare, robotics, and finance.

The chapters in this volume will be useful to working engineers, scientists, and mathematicians, as well as students and faculty interested in the progression of control theory. Future developments in MPC will no doubt build from concepts demonstrated in this book and anyone with an interest in MPC will find fruitful information and suggestions for additional reading.


Table of contents (27 chapters)

  • The Essentials of Model Predictive Control

    Levine, William S.

    Pages 3-27

  • Dynamic Programming, Optimal Control and Model Predictive Control

    Grüne, Lars

    Pages 29-52

  • Set-Valued and Lyapunov Methods for MPC

    Goebel, Rafal (et al.)

    Pages 53-73

  • Stochastic Model Predictive Control

    Mesbah, Ali (et al.)

    Pages 75-97

  • Moving Horizon Estimation

    Allan, Douglas A. (et al.)

    Pages 99-124

Buy this book

eBook $109.00
price for USA in USD (gross)
  • ISBN 978-3-319-77489-3
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $139.99
price for USA in USD
  • ISBN 978-3-319-77488-6
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Handbook of Model Predictive Control
Editors
  • Saša V. Raković
  • William S. Levine
Series Title
Control Engineering
Copyright
2019
Publisher
Birkhäuser Basel
Copyright Holder
Springer International Publishing AG, part of Springer Nature
eBook ISBN
978-3-319-77489-3
DOI
10.1007/978-3-319-77489-3
Hardcover ISBN
978-3-319-77488-6
Series ISSN
2373-7719
Edition Number
1
Number of Pages
XXI, 692
Number of Illustrations and Tables
57 b/w illustrations, 97 illustrations in colour
Topics