Model Predictive Control System Design and Implementation Using MATLABźP)
Model Predictive Control (MPC) is unusual in receiving on-going interest in both industrial and academic circles. Issues such as plant optimization and constrained control which are critical to industrial engineers are naturally embedded in its designs. Model Predictive Control System Design and Imp...
Enregistré dans:
| Hovedforfatter: | |
|---|---|
| Format: | Livre numérique |
| Sprog: | Anglais |
| Udgivet: |
London :
Springer London
2009.
Cham : Springer Nature |
| Serier: | Advances in Industrial Control
|
| Online adgang: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Kommentar: |
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 System Design and Implementation Using MATLAB®, Texte imprimé, 9781848823327 • Model predictive control system design and implementation using MATLAB®, Liuping Wang, London, Springer, 2009, 1 vol. (XXIX-375 p.), Advances in industrial control, 978-1-84882-330-3 • Model predictive control system design and implementation using MATLAB®, Liuping Wang, London, Springer, 2009, 1 vol. (XXIX-375 p.), Advances in industrial control, 978-1-84882-330-3 |
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| 008 | 090420s2009 xx ||| |||| 00| 0 eng d | ||
| 009 | PPN132872854 | ||
| 020 | |a 9781848823310 | ||
| 020 | |a 9781848823310 | ||
| 041 | 0 | |a eng | |
| 082 | |a 629.8 | ||
| 100 | 1 | |a Wang, Liuping. | |
| 245 | 1 | 0 | |a Model Predictive Control System Design and Implementation Using MATLABźP) |c by Liuping Wang. |
| 260 | |a London : |b Springer London. | ||
| 260 | |a Cham : |b Springer Nature, |c 2009. | ||
| 490 | 0 | |a Advances in Industrial Control |x 2193-1577 | |
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 505 | 0 | |a Discrete-time MPC for Beginners -- Discrete-time MPC with Constraints -- Discrete-time MPC Using Laguerre Functions -- Discrete-time MPC with Prescribed Degree of Stability -- Continuous-time Orthonormal Basis Functions -- Continuous-time MPC -- Continuous-time MPC with Constraints -- Continuous-time MPC with Prescribed Degree of Stability -- Classical MPC Systems in State-space Formulation -- Implementation of Predictive Control Systems. | |
| 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 Model Predictive Control (MPC) is unusual in receiving on-going interest in both industrial and academic circles. Issues such as plant optimization and constrained control which are critical to industrial engineers are naturally embedded in its designs. Model Predictive Control System Design and Implementation Using MATLAB® proposes methods for design and implementation of MPC systems using basis functions that confer the following advantages: continuous- and discrete-time MPC problems solved in similar design frameworks; a parsimonious parametric representation of the control trajectory gives rise to computationally efficient algorithms and better on-line performance; and a more general discrete-time representation of MPC design that becomes identical to the traditional approach for an appropriate choice of parameters. After the theoretical presentation, detailed coverage is given to three industrial applications: a food extruder, a motor and a magnetic bearing system. The subject of quadratic programming, often associated with the core optimization algorithms of MPC is also introduced and explained. The technical contents of this book, mainly based on advances in MPC using state-space models and basis functions to which the author is a major contributor, will be of interest to control researchers and practitioners, especially of process control. From a pedagogical standpoint, this volume includes numerous simple analytical examples and every chapter contains problems and MATLAB® programs and exercises to assist the student. | ||
| 776 | 0 | |t Model Predictive Control System Design and Implementation Using MATLAB® |b Texte imprimé |z 9781848823327 | |
| 776 | 0 | |0 13451274X |t Model predictive control system design and implementation using MATLAB® |f Liuping Wang |c London |n Springer |d 2009 |p 1 vol. (XXIX-375 p.) |s Advances in industrial control |z 978-1-84882-330-3 | |
| 776 | 0 | |0 13451274X |t Model predictive control system design and implementation using MATLAB® |f Liuping Wang |c London |n Springer |d 2009 |p 1 vol. (XXIX-375 p.) |s Advances in industrial control |z 978-1-84882-330-3 | |
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