Title :
Rule base identification toolbox for fuzzy controllers
Author :
Johanyak, Zsolt Csaba ; Ailer, Piroska
Author_Institution :
Dept. of Inf. Technol., Kecskemet Coll., Kecskemet, Hungary
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;
Conference_Titel :
Information Systems and Technologies (CISTI), 2014 9th Iberian Conference on
Conference_Location :
Barcelona
DOI :
10.1109/CISTI.2014.6877094
