Model Predictive Control
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Beschreibung
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, demonstrating that a powerful technique does not always require complex control algorithms. It has been thoroughly updated for the second edition with new chapters on nonlinear MPC and MPC implementation and many new exercises and examples.
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
Autor*in
Carlos Bordons Alba
Themen in »Model Predictive Control«
Constraint Control Engineering Industrial Application Model Predictive Control Modelling Robustness TB Adopted algorithms control model optimization programming stability
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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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