Prêtable
| Titre : | Model-based predictive control : A practical approach |
| Titre original: | Contrôle prédictif basé sur des modèles : une approche pratique |
| Auteurs : | J.-A. Rossiter |
| Type de document : | texte imprimé |
| Editeur : | New york [U.S.A.] : CRC press, 2003 |
| ISBN/ISSN/EAN : | 978-0-8493-1291-5 |
| Format : | 318 p. / ill.; couv. ill. en coul. / 24 cm. |
| Langues: | Anglais |
| Langues originales: | Anglais |
| Index. décimale : | 629.831 2 (Théorie de la commande (analyse, conception, commande optimale, commande robuste, commande de l'automatisation)) |
| Catégories : | |
| Mots-clés: | Optimisation ; Predictive controle |
| Résumé : |
Model Predictive Control (MPC) has become a widely used methodology across all engineering disciplines, yet there are few books which study this approach. Until now, no book has addressed in detail all key issues in the field including apriori stability and robust stability results. Engineers and MPC researchers now have a volume that provides a complete overview of the theory and practice of MPC as it relates to process and control engineering.
Model-Based Predictive Control, A Practical Approach, analyzes predictive control from its base mathematical foundation, but delivers the subject matter in a readable, intuitive style. The author writes in layman's terms, avoiding jargon and using a style that relies upon personal insight into practical applications. This detailed introduction to predictive control introduces basic MPC concepts and demonstrates how they are applied in the design and control of systems, experiments, and industrial processes. The text outlines how to model, provide robustness, handle constraints, ensure feasibility, and guarantee stability. It also details options in regard to algorithms, models, and complexity vs. performance issues. |
| Note de contenu : |
Sommaire :
Chapitre 1: Common linear models used in model predictive control Chapitre 2: Prediction in model predictive control Chapitre 3: Predictive control – the basic algorithm Chapitre 4: Examples – tuning predictive control and numerical conditioning Chapitre 5: Stability guarantees and optimising performance Chapitre 6: Closed-loop paradigm Chapitre 7: Constraint handling and feasibility issues in MPC Chapitre 8: Improving robustness – the constraint free case Chapitre 9: The relationship between model structure and the robustness of MPC Chapitre 10: Robustness of MPC during constraint handling and invariant sets Chapitre 11: Optimisation and computational efficiency in predictive control Chapitre 12: Predictive functional control Chapitre 13: Multirate systems Chapitre 14: Modelling for predictive control |
Exemplaires (1)
| Cote | Support | Localisation | Section | Disponibilité |
|---|---|---|---|---|
| F8/2249 | Livre | Bibliothèque de la Faculté de Technologie | Salle des livres | Disponible |
