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Advances in Industrial Control

Economic Model Predictive Control

Theory, Formulations and Chemical Process Applications

Authors: Ellis, Matthew, Liu, Jinfeng, Christofides, Panagiotis D.

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  • Presents state-of-the-art methods for the important new field of economic model predictive control
  • Enriches reader understanding of the combination of process economics and feedback control within a single framework
  • Provides many detailed examples of industrial relevance easily tailored to the needs of a particular reader
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eBook $129.00
price for USA in USD (gross)
  • ISBN 978-3-319-41108-8
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $169.99
price for USA in USD
  • ISBN 978-3-319-41107-1
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $169.99
price for USA in USD
  • ISBN 978-3-319-82268-6
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
About this book

This book presents general methods for the design of economic model predictive control (EMPC) systems for broad classes of nonlinear systems that address key theoretical and practical considerations including recursive feasibility, closed-loop stability, closed-loop performance, and computational efficiency.  Specifically, the book proposes:

  • Lyapunov-based EMPC methods for nonlinear systems;
  •  two-tier EMPC architectures that are highly computationally efficient; and
  •  EMPC schemes handling explicitly uncertainty, time-varying cost functions, time-delays and multiple-time-scale dynamics.

The proposed methods employ a variety of tools ranging from nonlinear systems analysis, through Lyapunov-based control techniques to nonlinear dynamic optimization. The applicability and performance of the proposed methods are demonstrated through a number of chemical process examples.

The book presents state-of-the-art methods for the design of economic model predictive control systems for chemical processes.In addition to being mathematically rigorous, these methods accommodate key practical issues, for example, direct optimization of process economics, time-varying economic cost functions and computational efficiency. Numerous comments and remarks providing fundamental understanding of the merging of process economics and feedback control into a single framework are included. A control engineer can easily tailor the many detailed examples of industrial relevance given within the text to a specific application.

The authors present a rich collection of new research topics and references to significant recent work making Economic Model Predictive Control an important source of information and inspiration for academics and graduate students researching the area and for process engineers interested in applying its ideas.

About the authors

Dr. Liu received the BS and MS degrees in Control Science and Engineering from Zhejiang University in 2003 and 2006, respectively. He received the PhD degree in Chemical Engineering from the University of California, Los Angeles in 2011. Before joining the University of Alberta in April, 2012, Dr. Liu was a postdoctoral researcher at the University of California, Los Angeles. His research interests are in the general areas of process control theory and practice with emphasis on model predictive control, networked and distributed control, process monitoring, and real-time control of chemical processes and energy generation systems.

Professor Panagiotis Christofides obtained his PhD from the University of Minnesota in 1996 and he has been a professor at the University of California, Los Angeles since 2004. He is a fellow of various professional societies:  the American Association for the Advancement of Science, the International Federation of Automatic Control and the IEEE. He is the author of numerous research papers, as well as two previous books published by Springer and has much experience of conference organization having served on various boards at various times, among them as the AIChE Director on the American Automatic Control Council. 

Reviews

“The reviewed book deals with stability and performance analysis of nonlinear control systems under economic model predictive control (EMPC). … the book builds a bridge between the theory and practice and provides an excellent balance between theoretical results and their application-specific implementation.” (Petro Feketa, zbMATH 1405.93004, 2019)

“This book presents a comprehensive introduction to the topic of economic model predictive control (EMPC). … Every chapter contains illustrations of the presented results though applications to chemical process control.” (Dante Kalise, Mathematical Reviews, February, 2019)



Table of contents (7 chapters)

Table of contents (7 chapters)

Buy this book

eBook $129.00
price for USA in USD (gross)
  • ISBN 978-3-319-41108-8
  • Digitally watermarked, DRM-free
  • Included format: EPUB, PDF
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover $169.99
price for USA in USD
  • ISBN 978-3-319-41107-1
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
Softcover $169.99
price for USA in USD
  • ISBN 978-3-319-82268-6
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
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Bibliographic Information

Bibliographic Information
Book Title
Economic Model Predictive Control
Book Subtitle
Theory, Formulations and Chemical Process Applications
Authors
Series Title
Advances in Industrial Control
Copyright
2017
Publisher
Springer International Publishing
Copyright Holder
Springer International Publishing Switzerland
eBook ISBN
978-3-319-41108-8
DOI
10.1007/978-3-319-41108-8
Hardcover ISBN
978-3-319-41107-1
Softcover ISBN
978-3-319-82268-6
Series ISSN
1430-9491
Edition Number
1
Number of Pages
XXIV, 292
Number of Illustrations
79 b/w illustrations, 16 illustrations in colour
Topics