DocumentCode :
2659951
Title :
The design and simulation of fuzzy controller based on rough sets theory
Author :
Xie, Keming ; Chen, Zehua ; Xie, Gang
Author_Institution :
Coll. of Inf. Eng., Taiyuan Univ. of Technol., China
Volume :
2
fYear :
2004
fDate :
10-13 Oct. 2004
Firstpage :
1366
Abstract :
How to effectively convert control experiences of the experts into fuzzy control rules has always been a hot spot in the design of fuzzy controller. Here a new algorithm to discover fuzzy rules directly from the observed data according to the experienced operators by means of rough sets, fuzzy sets and Rosetta software was put forward, the data indeed includes much valuable information about the control process and experts, and furthermore, lots of simulations have shown that the designed controller can take the place of the experts to carry out control task with good performance, the experimental results have shown its efficiency.
Keywords :
control system synthesis; fuzzy control; fuzzy set theory; rough set theory; Rosetta software; fuzzy control rules; fuzzy controller design; fuzzy sets; rough sets theory; Automatic generation control; Educational institutions; Error correction; Forward contracts; Fuzzy control; Fuzzy set theory; Fuzzy sets; Fuzzy systems; Input variables; Rough sets;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems, Man and Cybernetics, 2004 IEEE International Conference on
ISSN :
1062-922X
Print_ISBN :
0-7803-8566-7
Type :
conf
DOI :
10.1109/ICSMC.2004.1399816
Filename :
1399816
Link To Document :
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