DocumentCode
3242667
Title
Design of flexible structured fuzzy controllers using genetic algorithms
Author
Popovic, D. ; Xiong, Ning
Author_Institution
Bremen Univ., Germany
Volume
3
fYear
1996
fDate
8-11 Sep 1996
Firstpage
1682
Abstract
Previously, optimal fuzzy logic controllers have been used successfully in a complex search space using various search approaches. The paper develops a genetic-algorithm based learning approach to implementation of a flexible structured fuzzy controller. The algorithm used facilitates simultaneous determination of control rules, of membership functions and of the structure parameters of the controller, that results in a high-performance controller, that is demonstrated on simulation examples
Keywords
fuzzy logic; control rules; flexible structured fuzzy controllers; genetic-algorithm based learning approach; high-performance controller; membership functions; Aggregates; Algorithm design and analysis; Arithmetic; Flexible structures; Fuzzy control; Fuzzy logic; Fuzzy sets; Genetic algorithms; Message-oriented middleware; Optimal control;
fLanguage
English
Publisher
ieee
Conference_Titel
Fuzzy Systems, 1996., Proceedings of the Fifth IEEE International Conference on
Conference_Location
New Orleans, LA
Print_ISBN
0-7803-3645-3
Type
conf
DOI
10.1109/FUZZY.1996.552623
Filename
552623
Link To Document