DocumentCode
305675
Title
Adaptive fuzzy control
Author
Li, Han-Xiong
Author_Institution
Dept. of Electr. & Electron. Eng., Auckland Univ., New Zealand
Volume
1
fYear
1996
fDate
14-17 Oct 1996
Firstpage
366
Abstract
In this paper, adaptive fuzzy logic control (FLC) will be designed by using a simple reference model. This design approach is based on our new methodology “design rule base qualitatively and data base quantitatively”. If the linear rule base is used, the model of FLC can be obtained. It is actually a nonlinear function with only three scaling gains need to be designed and tuned. The conventional control theory can thus be used. This model reference adaptive fuzzy control (MRAFC) requires less restriction on the reference model, but often achieves a more robust performance than its classical counterpart
Keywords
control system synthesis; fuzzy control; model reference adaptive control systems; robust control; MRAC; MRAFC; linear rule base; model reference adaptive fuzzy control design; nonlinear function; scaling gains; Adaptive control; Control theory; Design engineering; Fuzzy control; Fuzzy logic; Gradient methods; Laboratories; Mathematical model; Programmable control; Two-term control;
fLanguage
English
Publisher
ieee
Conference_Titel
Systems, Man, and Cybernetics, 1996., IEEE International Conference on
Conference_Location
Beijing
ISSN
1062-922X
Print_ISBN
0-7803-3280-6
Type
conf
DOI
10.1109/ICSMC.1996.569797
Filename
569797
Link To Document