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Model Predictive Control

Approaches Based on the Extended State Space Model and Extended Non-minimal State Space Model

Authors: Zhang, Ridong, Xue, Anke, Gao, Furong

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  • The first monograph on extended state space and extended non-minimal state space approaches to model predictive control design
  • Introduces the multi-degree of freedom into the controller design of chemical processes
  • Discusses useful technologies and algorithms for theoretical background development and industrial application
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eBook 101,14 €
price for Spain (gross)
  • ISBN 978-981-13-0083-7
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  • Immediate eBook download after purchase
Hardcover 124,79 €
price for Spain (gross)
  • ISBN 978-981-13-0082-0
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  • Usually dispatched within 3 to 5 business days.
  • The final prices may differ from the prices shown due to specifics of VAT rules
About this book

This monograph introduces the authors’ work on model predictive control system design using extended state space and extended non-minimal state space approaches. It systematically describes model predictive control design for chemical processes, including the basic control algorithms, the extension to predictive functional control, constrained control, closed-loop system analysis, model predictive control optimization-based PID control, genetic algorithm optimization-based model predictive control, and industrial applications. Providing important insights, useful methods and practical algorithms that can be used in chemical process control and optimization, it offers a valuable resource for researchers, scientists and engineers in the field of process system engineering and control engineering. 

About the authors

Ridong Zhang received his Ph.D. in control science and engineering from Zhejiang University, Hangzhou, China, in 2007. From 2007 to 2015, he was a full professor at the Institute of Information and Control, Hangzhou Dianzi University, Hangzhou, and since 2015 he has been a visiting professor at the Chemical and Biomolecular Engineering Department, Hong Kong University of Science and Technology, Hong Kong. He has published more than 40 journal papers in the fields of process modeling and control. His research interests include process modeling, model predictive control and nonlinear systems.


Anke Xue received his Ph.D. in control science and engineering from Zhejiang University, Hangzhou, China, in 1997. He is currently a full professor at the Institute of Information and Control, Hangzhou Dianzi University, Hangzhou and the president of Hangzhou Dianzi University. He has published more than 50 journal papers in the fields of robust control and complex systems. His research interests include control theory and applications.


Furong Gao received his B.Eng. degree in automation from China University of Petroleum, China, in 1985 and his M.Eng. and Ph.D. degrees in chemical engineering from McGill University, Montreal, Canada in 1989 and 1993, respectively. He was a senior research engineer at Moldflow International Company Ltd. Since 1995, he has worked at Hong Kong University of Science and Technology, where he is currently a chair professor at the Department of Chemical and Biomolecular Engineering. His research interests include process monitoring and control, as well as polymer processing.


Table of contents (11 chapters)

Table of contents (11 chapters)

Buy this book

eBook 101,14 €
price for Spain (gross)
  • ISBN 978-981-13-0083-7
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Hardcover 124,79 €
price for Spain (gross)
  • ISBN 978-981-13-0082-0
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
  • The final prices may differ from the prices shown due to specifics of VAT rules
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Bibliographic Information

Bibliographic Information
Book Title
Model Predictive Control
Book Subtitle
Approaches Based on the Extended State Space Model and Extended Non-minimal State Space Model
Authors
Copyright
2019
Publisher
Springer Singapore
Copyright Holder
Springer Nature Singapore Pte Ltd.
eBook ISBN
978-981-13-0083-7
DOI
10.1007/978-981-13-0083-7
Hardcover ISBN
978-981-13-0082-0
Edition Number
1
Number of Pages
XV, 137
Number of Illustrations
3 b/w illustrations, 25 illustrations in colour
Topics