Model Predictive control
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 mos...
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| Format: | Livre numérique |
| Sprache: | Anglais |
| Veröffentlicht: |
London :
Springer London
2007.
Cham : Springer Nature |
| Schriftenreihe: | Advanced Textbooks in Control and Signal Processing
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| Online Zugang: | Accès sur la plateforme de l'éditeur Accès sur la plateforme de l'éditeur (Springer) Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
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Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Model Predictive Control, Texte imprimé, 9780857293992 • Model Predictive Control, Texte imprimé, 9781852336943 |
| LEADER | 05106nam a22003497a 4500 | ||
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| 082 | |a 629.8 | ||
| 100 | 1 | |a Camacho, E. F. | |
| 245 | 1 | 0 | |a Model Predictive control |c by E. F. Camacho, C. Bordons. |
| 260 | |a London : |b Springer London. | ||
| 260 | |a Cham : |b Springer Nature, |c 2007. | ||
| 490 | 0 | |a Advanced Textbooks in Control and Signal Processing |x 2510-3814 | |
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 505 | 0 | |a 1 Introduction to Model Predictive Control -- 1.1 MPC Strategy -- 1.2 Historical Perspective -- 1.3 Industrial Technology -- 1.4 Outline of the Chapters -- 2 Model Predictive Controllers -- 2.1 MPC Elements -- 2.2 Review of Some MPC Algorithms -- 2.3 State Space Formulation -- 3 Commercial Model Predictive Control Schemes -- 3.1 Dynamic Matrix Control -- 3.2 Model Algorithmic Control -- 3.3 Predictive Functional Control -- 3.4 Case Study: A Water Heater -- 3.5 Exercises -- 4 Generalized Predictive Control -- 4.1 Introduction -- 4.2 Formulation of Generalized Predictive Control -- 4.3 The Coloured Noise Case -- 4.4 An Example -- 4.5 Closed-Loop Relationships -- 4.6 The Role of the T Polynomial -- 4.7 The P Polynomial -- 4.8 Consideration of Measurable Disturbances -- 4.9 Use of a Different Predictor in GPC -- 4.10 Constrained Receding Horizon Predictive Control -- 4.11 Stable GPC -- 4.12 Exercises -- 5 Simple Implementation of GPC for Industrial Processes -- 5.1 Plant Model -- 5.2 The Dead Time Multiple of the Sampling Time Case -- 5.3 The Dead Time Nonmultiple of the Sampling Time Case -- 5.4 Integrating Processes -- 5.5 Consideration of Ramp Setpoints -- 5.6 Comparison with Standard GPC -- 5.7 Stability Robustness Analysis -- 5.8 Composition Control in an Evaporator -- 5.9 Exercises -- 6 Multivariable Model Predictive Control -- 6.1 Derivation of Multivariable GPC -- 6.2 Obtaining a Matrix Fraction Description -- 6.3 State Space Formulation -- 6.4 Case Study: Flight Control -- 6.5 Convolution Models Formulation -- 6.6 Case Study: Chemical Reactor -- 6.7 Dead Time Problems -- 6.8 Case Study: Distillation Column -- 6.9 Multivariable MPC and Transmission Zeros -- 6.10 Exercises -- 7 Constrained Model Predictive Control -- 7.1 Constraints and MPC | |
| 506 | |a Accès en ligne pour les établissements français bénéficiaires des licences nationales | ||
| 506 | |a Accès soumis à abonnement pour tout autre établissement | ||
| 506 | |a Conditions particulières de réutilisation pour les bénéficiaires des licences nationales. chttps://www.licencesnationales.fr/springer-nature-ebooks-contrat-licence-ln-2017 | ||
| 520 | |a 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. | ||
| 700 | 1 | |a Bordons Alba, Carlos. |4 pbd | |
| 776 | 0 | |t Model Predictive Control |b Texte imprimé |z 9780857293992 | |
| 776 | 0 | |t Model Predictive Control |b Texte imprimé |z 9781852336943 | |
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