A study on learning scheme of self-learning rule-based fuzzy controller using random variable sequence

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 propo...

Full description

Saved in:
Bibliographic Details
Published inProceedings of the 1998 American Control Conference. ACC (IEEE Cat. No.98CH36207) Vol. 3; pp. 1862 - 1863 vol.3
Main Authors Seung-Hyon Jeong, Chang-Wook Han, Jung-Il Park, Kwon, S.H.
Format Conference Proceeding
LanguageEnglish
Published IEEE 1998
Subjects
Adaptive control
Error correction
Flowcharts
Fuzzy control
Performance analysis
Programmable control
Random processes
Random variables
Signal processing
Online AccessGet full text

Cover

More Information
Summary: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.
ISBN:0780345304
9780780345300
ISSN:0743-1619
2378-5861
DOI:10.1109/ACC.1998.707341