| Titre : | Model Predictive Control | | Type de document : | texte imprimé | | Auteurs : | E.F. Camacho, Auteur ; C. Bordons, Auteur | | Mention d'édition : | 2nd. ed. | | Editeur : | London : Springer-Verlag | | Année de publication : | 2007 | | Collection : | Advanced Textbooks in Control and Signal Processing | | Importance : | 405 p. | | Présentation : | couv. ill. en coul., ill. | | Format : | 23,6 cm. | | ISBN/ISSN/EAN : | 978-1-85233-694-3 | | Langues : | Anglais (eng) | | Index. décimale : | 25-07 Théorie de la commande: commandes des processus | | Résumé : | 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(r) programs to aid in their solution can be downloaded from the authors' website. 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. | | Note de contenu : | Contents
1 Introduction to model predictive control
2 Model predictive controllers
3 Commercial model predictive control schemes
4 Generalized predictive control
5 Simple implementation of GPC for industrial processes
6 Multivariable model predictive control
7 Constrained model predictive control
8 Robust model predictive model
9 Nonlinear model predictive control
10 Model predictive control and hybrid systems
11 Fast methods for implementing model predictive control
12 Applications
-Index |
Model Predictive Control [texte imprimé] / E.F. Camacho, Auteur ; C. Bordons, Auteur . - 2nd. ed. . - London : Springer-Verlag, 2007 . - 405 p. : couv. ill. en coul., ill. ; 23,6 cm.. - ( Advanced Textbooks in Control and Signal Processing) . ISBN : 978-1-85233-694-3 Langues : Anglais ( eng) | Index. décimale : | 25-07 Théorie de la commande: commandes des processus | | Résumé : | 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(r) programs to aid in their solution can be downloaded from the authors' website. 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. | | Note de contenu : | Contents
1 Introduction to model predictive control
2 Model predictive controllers
3 Commercial model predictive control schemes
4 Generalized predictive control
5 Simple implementation of GPC for industrial processes
6 Multivariable model predictive control
7 Constrained model predictive control
8 Robust model predictive model
9 Nonlinear model predictive control
10 Model predictive control and hybrid systems
11 Fast methods for implementing model predictive control
12 Applications
-Index |
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