Fuzzy modeling and fuzzy control
Fuzzy logic methodology has been proven effective in dealing with complex nonlinear systems containing uncertainties that are otherwise difficult to model. Technology based on this methodology has been applied to many real-world problems, especially in the area of consumer products. This book presen...
Uloženo v:
| Hlavní autoři: | , |
|---|---|
| Médium: | Livre numérique |
| Jazyk: | Anglais |
| Vydáno: |
Boston, MA :
Birkhäuser Boston
[20..].
Cham : Springer Nature |
| Vydání: | 1st ed. 2006. |
| Edice: | Control Engineering
|
| On-line přístup: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Poznámka: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Fuzzy modeling and fuzzy control, Huaguang Zhang, Derong Liu, Boston ; Basel, Birkhäuser, 2006, 1Vol. (xiii-416 p.), Control engineering, 978-0-8176-4491-8 |
Obsah:
- Fuzzy Set Theory and Rough Set Theory Identification of the Takagi-Sugeno Fuzzy Model Fuzzy Model Identification Based on Rough Set Data Analysis Identification of the Fuzzy Hyperbolic Model Basic Methods of Fuzzy Inference and Control Fuzzy Inference and Control Methods Involving Two Kinds of Uncertainties Fuzzy Control Schemes via a Fuzzy Performance Evaluator Multivariable Predictive Control Based on the T-S Fuzzy Model Adaptive Control Methods Based on Fuzzy Basis Function Vectors Controller Design Based on the Fuzzy Hyperbolic Model Fuzzy H ? Filter Design for Nonlinear Discrete-Time Systems with Multiple Time-Delays Chaotification of the Fuzzy Hyperbolic Model Feedforward Fuzzy Control Approach Using the Fourier Integral