DocumentCode :
1561592
Title :
Reduced-dimension multilayer FLC based on rough set theory
Author :
Wang, Fang ; Xie, Gang ; Xie, Keming
Author_Institution :
Coll. of Inf. Eng., Taiyuan Univ. of Technol., China
Volume :
3
fYear :
2004
Firstpage :
2686
Abstract :
In this paper a new RST-based algorithm is introduced which extracts knowledge from field data and establishes fuzzy rules of reduced-dimension multilayer fuzzy controller. It is advantageous for understanding, checking rules and artificial correction to keep every level´s fuzzy inference rules in three-dimension sizes. The rough-fuzzy controller is combined with conventional PID, building up the hybrid intelligent controller. The simulation of load control system shows that the hybrid controller processes higher control qualities with high speed, small overshoot and strong robustness.
Keywords :
fuzzy control; fuzzy set theory; inference mechanisms; intelligent control; knowledge acquisition; power system control; power system simulation; rough set theory; three-term control; PID control; fuzzy inference rules; hybrid intelligent controller; knowledge extraction; load control system simulation; multilayer fuzzy logic controller; reduced dimension controller; rough fuzzy controller; rough set theory; Artificial intelligence; Data mining; Fuzzy control; Inference algorithms; Intelligent structures; Load flow control; Nonhomogeneous media; Process control; Set theory; Three-term control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Control and Automation, 2004. WCICA 2004. Fifth World Congress on
Print_ISBN :
0-7803-8273-0
Type :
conf
DOI :
10.1109/WCICA.2004.1342085
Filename :
1342085
Link To Document :
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