DocumentCode :
330333
Title :
A new approach to design of an adaptive fuzzy logic control system
Author :
Novakovic, B. ; Vranjes, B. ; Novakovic, D.
Author_Institution :
Zagreb Univ., Croatia
Volume :
2
fYear :
1998
fDate :
11-14 Oct 1998
Firstpage :
1922
Abstract :
As it is well known that enough fuzzy rules can approximate any unknown function. Meanwhile, there are applications such as robot control, video rich multimedia and virtual reality, which can require many more rules of greater complexity operating in milliseconds. It becomes necessary to suggest ways to cope with a vexing problem in fuzzy logic: the exponential growth in rules as the number of variables increases. This motivation is utilized in the paper for introducing of an adaptive analytic function that determines the positions of centres of output fuzzy sets in each mapping process, instead of definition of rule base. Thus, the approach described is without any fuzzy logic rule
Keywords :
adaptive control; control system synthesis; fuzzy control; fuzzy set theory; adaptive control; fuzzy control; fuzzy rules; fuzzy set theory; mapping process; Adaptive control; Control systems; Fuzzy control; Fuzzy logic; Fuzzy sets; Fuzzy systems; PD control; Programmable control; Proportional control; Robot control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems, Man, and Cybernetics, 1998. 1998 IEEE International Conference on
Conference_Location :
San Diego, CA
ISSN :
1062-922X
Print_ISBN :
0-7803-4778-1
Type :
conf
DOI :
10.1109/ICSMC.1998.728177
Filename :
728177
Link To Document :
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