| 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. |
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