Model Predictive Control / Advanced Textbooks in Control and Signal Processing (PDF)
The second edition of Model Predictive Control provides a thorough...
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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.
- Autoren: Eduardo F. Camacho , Carlos Bordons Alba
- 2013, 2nd ed. 2004, 405 Seiten, Englisch
- Verlag: Springer-Verlag GmbH
- ISBN-10: 0857293982
- ISBN-13: 9780857293985
- Erscheinungsdatum: 10.01.2013
Abhängig von Bildschirmgröße und eingestellter Schriftgröße kann die Seitenzahl auf Ihrem Lesegerät variieren.
- Dateiformat: PDF
- Größe: 3.09 MB
- Mit Kopierschutz
- Vorlesefunktion
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)
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