| Titre : | Fuzzy modeling for control |
| Auteurs : | R. Babuska, Auteur |
| Type de document : | texte imprimé |
| Editeur : | Boston : Kluwer, 1998 |
| Collection : | International series in intelligent technology |
| ISBN/ISSN/EAN : | 978-0-7923-8154-9 |
| Format : | 1 vol. (260 p.) / ill., couv. ill. / 24 cm |
| Langues originales: | |
| Index. décimale : | 621 (Physique appliquée) |
| Catégories : | |
| Mots-clés: | Système flou Commande non linéaire |
| Résumé : |
Fuzzy Modeling for Control addresses fuzzy modeling from the systems and control engineering point of view. It focuses on the selection of appropriate model structures, on the acquisition of dynamic fuzzy models from process measurements (fuzzy identification), and on the design of nonlinear controllers based on fuzzy models. The main features of the presented techniques are illustrated by means of simple examples. In addition, three real-world applications are described. Finally, software tools for building fuzzy models from measurements are available from the author. |
| Note de contenu : |
Sommaire : 1. Introduction. 2. Fuzzy Modeling. 3. Fuzzy Clustering Algorithms. 4. Product-Space Clustering for Identification. 5. Constructing Fuzzy Models From Partitions. 6. Fuzzy Models in Nonlinear Control. 7. Applications. A. Basic Concepts of Fuzzy Set Theory. B. Fuzzy Modeling and Identification Toolbox for MATLAB. C. Symbols and Abbreviations. |
| Côte titre : |
S8/53339 |
Exemplaires (1)
| Cote | Support | Localisation | Disponibilité |
|---|---|---|---|
| S8/53339 | Livre | Bibliothèque centrale | Sorti jusqu'au 24/11/2021 |
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