Overview
- Provides an approach to control that is more pragmatic than the complex schemes common in academic research while maintaining the power necessary for a robust approach to a wide variety of processes and systems
- New exercises and examples give the student more practice in the modelling techniques presented
- Solutions available for download from authors' website save the tutor time and enable the student to follow results more closely even when the tutor isn't present
- Gives the student access to a widely-used form of control which will be required by many industrial careers
Part of the book series: Advanced Textbooks in Control and Signal Processing (C&SP)
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Table of contents (12 chapters)
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Front Matter
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Back Matter
Keywords
About this book
From power plants to sugar refining, model predictive control (MPC) schemes have established themselves as the preferred control strategies for a wide variety of processes. The second edition of "Model Predictive Control" provides a thorough introduction to theoretical and practical aspects of the most commonly used MPC strategies. It bridges the gap between the powerful but often abstract techniques of control researchers and the more empirical approach of practitioners. "Model Predictive Control" demonstrates that a powerful technique does not always require complex control algorithms. The text features material on the following subjects: general MPC elements and algorithms; commercial MPC schemes; generalized predictive control multivariable, robust, constrained nonlinear and hybrid MPC; fast methods for MPC implementation; applications.
All of the material is thoroughly updated for the second edition with the chapters on nonlinear MPC, MPC and hybrid systems and MPC implementation being entirely new. Many new exercises and examples have also have also been added throughout and MATLAB® programs to aid in their solution can be downloaded from extras.springer.com. The text is an excellent aid for graduate and advanced undergraduate students and will also be of use to researchers and industrial practitioners wishing to keep abreast of a fast-moving field.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
Bibliographic Information
Book Title: Model Predictive Control
Authors: E. F. Camacho, C. Bordons
Series Title: Advanced Textbooks in Control and Signal Processing
DOI: https://doi.org/10.1007/978-0-85729-398-5
Publisher: Springer London
eBook Packages: Engineering, Engineering (R0)
Copyright Information: Springer-Verlag London Limited 2007
Softcover ISBN: 978-1-85233-694-3Published: 16 June 2004
eBook ISBN: 978-0-85729-398-5Published: 10 January 2013
Series ISSN: 1439-2232
Series E-ISSN: 2510-3814
Edition Number: 2
Number of Pages: XXII, 405
Topics: Control and Systems Theory, Systems Theory, Control, Industrial Chemistry/Chemical Engineering, Electronics and Microelectronics, Instrumentation