Advances in Fuzzy Control

• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Άλλοι συγγραφείς: Driankov, Dimiter (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Palm, Rainer (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Heidelberg : Physica-Verlag HD : Imprint: Physica, 1998.
• Έκδοση: 1st ed. 1998.
• Σειρά: Studies in Fuzziness and Soft Computing, 16
• Θέματα: Artificial intelligence.; Pattern recognition.; Computational complexity.; Information technology.; Business-Data processing.; Artificial Intelligence.; Pattern Recognition.; Complexity.; IT in Business.
• Φυσική περιγραφή: VIII, 421 p. 52 illus. online resource.
• ISBN: 9783790818864
• ISSN: 1434-9922 ;
• DOI: 10.1007/978-3-7908-1886-4

Model-based fuzzy control uses a given conventional or a fuzzy open loop of the plant under control in order to derive the set of fuzzy if-then rules constituting the corresponding fuzzy controller. Furthermore, of central interest are the consequent stability, performance, and robustness analysis of the resulting closed loop system involving a conventional model and a fuzzy controller, or a fuzzy model and a fuzzy controller. The major objective of the model-based fuzzy control is to use the full available range of existing linear and nonlinear design of such fuzzy controllers which have better stability, performance, and robustness properties than the corresponding non-fuzzy controllers designed by the use of these same techniques.