Authors:
- An extensive review on the subject by authors who have an international reputation and who have lectured extensively on the subject to students
- An invaluable aid to students at all levels
- Includes a large number of exercises and real applications
Part of the book series: Advanced Textbooks in Control and Signal Processing (C&SP)
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Table of contents (9 chapters)
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Front Matter
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Back Matter
About this book
Reviews
From the reviews of the second edition:
"This text is an introduction to model predictive control, a control methodology which has encountered some success in industry, but which still presents many theoretical challenges. … The book is of interest as an introduction to model predictive control, and a merit is the special presentation, connecting the subject intimately with industrial situations." (A. Akutowicz, Zentralblatt MATH, Vol. 1080, 2006)
"It is a much more ambitious work, seeking to inform practitioners how to implement MPC while at the same time serving as an advanced student text as well as reference for control researchers. … The authors clearly see the text as a teaching aid since several chapters include exercises. … In summary, a significant contribution to this important field for control academics, and some highly experienced MPC practitioners … ." (Michael Brisk, www.tcetoday.com, February, 2008)
Authors and Affiliations
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Escuela Superior de Ingenieros, Universidad de Sevilla, Sevilla, Spain
Eduardo F. Camacho, Carlos Bordons
Bibliographic Information
Book Title: Model Predictive Control
Authors: Eduardo F. Camacho, Carlos Bordons
Series Title: Advanced Textbooks in Control and Signal Processing
DOI: https://doi.org/10.1007/978-1-4471-3398-8
Publisher: Springer London
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eBook Packages: Springer Book Archive
Copyright Information: Springer-Verlag London Limited 1999
Softcover ISBN: 978-3-540-76241-6Due: 25 February 1999
eBook ISBN: 978-1-4471-3398-8Published: 06 December 2012
Series ISSN: 1439-2232
Series E-ISSN: 2510-3814
Edition Number: 1
Number of Pages: XVII, 280
Topics: Control, Robotics, Mechatronics, Artificial Intelligence, Simulation and Modeling, Manufacturing, Machines, Tools, Processes, Machinery and Machine Elements
Industry Sectors: Aerospace, Automotive, Biotechnology, Chemical Manufacturing, Consumer Packaged Goods, Electronics, Energy, Utilities & Environment, Engineering, IT & Software, Materials & Steel, Oil, Gas & Geosciences, Pharma, Telecommunications