| Titre : | Advanced practical process control | | Type de document : | texte imprimé | | Auteurs : | Brian Roffel, Auteur ; B. H. Betlem, Auteur | | Editeur : | Berlin; Heidelberg; New York : Springer-Verlag | | Année de publication : | 2004 | | Importance : | 309 p. | | Présentation : | couv. ill. en coul., ill. | | Format : | 24 cm. | | Accompagnement : | CD-ROM | | ISBN/ISSN/EAN : | 978-3-540-40480-4 | | Langues : | Anglais (eng) | | Catégories : | AUTOMATISME
| | Mots-clés : | MATLAB Model Predictive Control Transformation actor algorithm linear optimization model modeling optimization programming simulation | | Index. décimale : | 25-07 Théorie de la commande: commandes des processus | | Résumé : | This text and reference an application-oriented approach to process control. The reference text systematically explains process identification, control and optimization, the three key steps needed to solve a multivariable control problem. Theory is discussed as far as it is needed to understand and solve the defined problem, while numerous examples written in MATLAB illustrate the problem-solving approach.
A new software package for linear multivariable process identification and control is included with the book on CD-ROM. This package combines unique features of some multivariable control tools, while a detailed description of this software package is included in a separate appendix | | Note de contenu : | Table of contents
1 Introduction to Advanced Process Control Concepts.
2 Process Simulation.
3 Process Modeling and Identification.
4 Identification Examples.
5 Linear Multivariable Control.
6 Multivariable Optimal Constraint Control Algorithm.
7 Internal Model Control.
8 Nonlinear Multivariable Control.
9 Optimization of Process Operation.
10 Optimization Examples.
11 Integration of Control and Optimization.
Appendix I. MCPC software guide.
Appendix II. Comparison of control strategies for a hollow shaft reactor. |
Advanced practical process control [texte imprimé] / Brian Roffel, Auteur ; B. H. Betlem, Auteur . - Berlin; Heidelberg; New York : Springer-Verlag, 2004 . - 309 p. : couv. ill. en coul., ill. ; 24 cm. + CD-ROM. ISBN : 978-3-540-40480-4 Langues : Anglais ( eng) | Catégories : | AUTOMATISME
| | Mots-clés : | MATLAB Model Predictive Control Transformation actor algorithm linear optimization model modeling optimization programming simulation | | Index. décimale : | 25-07 Théorie de la commande: commandes des processus | | Résumé : | This text and reference an application-oriented approach to process control. The reference text systematically explains process identification, control and optimization, the three key steps needed to solve a multivariable control problem. Theory is discussed as far as it is needed to understand and solve the defined problem, while numerous examples written in MATLAB illustrate the problem-solving approach.
A new software package for linear multivariable process identification and control is included with the book on CD-ROM. This package combines unique features of some multivariable control tools, while a detailed description of this software package is included in a separate appendix | | Note de contenu : | Table of contents
1 Introduction to Advanced Process Control Concepts.
2 Process Simulation.
3 Process Modeling and Identification.
4 Identification Examples.
5 Linear Multivariable Control.
6 Multivariable Optimal Constraint Control Algorithm.
7 Internal Model Control.
8 Nonlinear Multivariable Control.
9 Optimization of Process Operation.
10 Optimization Examples.
11 Integration of Control and Optimization.
Appendix I. MCPC software guide.
Appendix II. Comparison of control strategies for a hollow shaft reactor. |
|  |
Advanced practical process control / Brian Roffel
