DocumentCode :
2260415
Title :
A study on learning scheme of self-learning rule-based fuzzy controller using random variable sequence
Author :
Jeong, Seung-hyun ; Han, Chang-Wook ; Park, Jung-il ; Kwon, Soon H.
Author_Institution :
Yeungnam Univ., Kyongbuk, South Korea
Volume :
3
fYear :
1998
fDate :
21-26 Jun 1998
Firstpage :
1862
Abstract :
In this paper, a learning scheme for self-learning rule-bared fuzzy controller using random variable sequence is proposed. A new adaptive fuzzy controller in which the width and center of membership functions consisting of fuzzy rule bases are self-organized by the proposed learning scheme, is proposed. The validity of the proposed algorithm is confirmed by applying it to the control of an inverted pendulum
Keywords :
adaptive control; fuzzy control; intelligent control; learning (artificial intelligence); learning systems; self-adjusting systems; adaptive control; inverted pendulum; learning scheme; membership functions; random variable sequence; rule-based fuzzy controller; self-learning control; Adaptive control; Error correction; Flowcharts; Fuzzy control; Performance analysis; Programmable control; Random processes; Random variables; Signal processing;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
American Control Conference, 1998. Proceedings of the 1998
Conference_Location :
Philadelphia, PA
ISSN :
0743-1619
Print_ISBN :
0-7803-4530-4
Type :
conf
DOI :
10.1109/ACC.1998.707341
Filename :
707341
Link To Document :
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