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