Rule base identification toolbox for fuzzy controllers

Author

Johanyak, Zsolt Csaba ; Ailer, Piroska

Author_Institution

Dept. of Inf. Technol., Kecskemet Coll., Kecskemet, Hungary

fYear

2014

fDate

18-21 June 2014

Firstpage

1

Lastpage

6

Abstract

The performance of a fuzzy controller is determined in a great amount by the underlying rule base. In this paper, we present tuning methods implemented in our rule base identification and tuning toolbox. The toolbox is easy-to-use Matlab based software with graphical user interface. All the implemented tuning methods support the creation of low complexity and compact rule bases that contain only the most relevant rules. Besides, the clonal selection based method also can be applied in case of covering rule bases as well as for the tuning of input/output gains of fuzzy controllers.

Keywords

fuzzy control; fuzzy reasoning; graphical user interfaces; optimisation; Matlab-based software; fuzzy controller performance analysis; graphical user interface; input gain tuning method; low-complexity-compact rule base creation; output gain tuning method; rule base identification toolbox; tuning toolbox; Cloning; Fuzzy logic; Fuzzy sets; Fuzzy systems; Optimization; Performance analysis; Tuning; clonal selection; fuzzy control; optimization; rule base; rule base extension;

fLanguage

English

Publisher

ieee

Conference_Titel

Information Systems and Technologies (CISTI), 2014 9th Iberian Conference on

Conference_Location

Barcelona

Type

conf

DOI

10.1109/CISTI.2014.6877094

Filename

6877094