Fuzzy logic, identification and predictive control
The complexity and sensitivity of modern industrial processes and systems increasingly require adaptable advanced control protocols. These controllers have to be able to deal with circumstances demanding "judgement" rather than simple "yes/no", "on/off" responses, circu...
Enregistré dans:
| Auteurs principaux: | , , |
|---|---|
| Format: | Livre numérique |
| Sprog: | Anglais |
| Udgivet: |
London :
Springer London
[20..].
Cham : Springer Nature |
| Udgivelse: | 1st ed. 2005. |
| 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: | • Fuzzy logic, identification, and predictive control, Jairo Espinosa, Joos Vandewalle, Vincent Wertz, London, Springer, 2004, xix-263 p., Advances in industrial control, 1-85233-828-8 • Fuzzy Logic, Identification and Predictive Control, Texte imprimé, 9781849969314 • Fuzzy Logic, Identification and Predictive Control, Texte imprimé, 9781848007758 • Fuzzy logic, identification, and predictive control, Jairo Espinosa, Joos Vandewalle, Vincent Wertz, London, Springer, 2004, xix-263 p., Advances in industrial control, 1-85233-828-8 |
Indholdsfortegnelse:
- Fuzzy Modeling Fuzzy Modeling Constructing Fuzzy Models from Input-Output Data Fuzzy Modeling with Linguistic Integrity: A Tool for Data Mining Nonlinear Identification Using Fuzzy Models Fuzzy Control Fuzzy Control Predictive Control Based on Fuzzy Models Robust Nonlinear Predictive Control Using Fuzzy Models Conclusions and Future Perspectives