Control Configuration Selection for Multivariable Plants
Control of multivariable industrial plants and processes has been a challenging and fascinating task for researchers in this field. The analysis and design methodologies for multivariable plants can be categorized as centralized and decentralized design strategies. Despite the remarkable theoretical...
Enregistré dans:
| Auteurs principaux: | , |
|---|---|
| Format: | Livre numérique |
| Sprog: | Anglais |
| Udgivet: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
2009.
Cham : Springer Nature |
| Serier: | Lecture Notes in Control and Information Sciences
391 |
| Fag: | |
| 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: | • Control configuration selection for multivariable plants, Ali Khaki-Sedigh and Bijan Moaveni, Berlin, Springer, 2009, 1 vol.(XII-232 p.), Lecture notes in control and information sciences, 978-3-642-03192-2 • Control Configuration Selection for Multivariable Plants, Texte imprimé, 9783642031946 |
Indholdsfortegnelse:
- Control Configuration Selection of Linear Multivariable Plants: The RGA Approach
- Control Configuration of Linear Multivariable Plants: Advanced RGA Based Techniques
- Control Configuration Selection of Linear Multivariable Plants: SSV and Passivity Based Techniques
- Control Configuration Selection of Linear Multivariable Plants Based on the State-Space Models
- Control Configuration Selection of Nonlinear Multivariable Plants
- Control Configuration Selection of Linear Uncertain Multivariable Plants
- Appendix: Mathematical Models Used in Examples.