Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/116910
Title: A rule self-regulating fuzzy controller
Authors: Qiao, W.Z.
Zhuang, W.P. 
Heng, T.H. 
Shan, S.S.
Keywords: control rules
fuzzy control
Fuzzy logic
self organization
Issue Date: 10-Apr-1992
Source: Qiao, W.Z.,Zhuang, W.P.,Heng, T.H.,Shan, S.S. (1992-04-10). A rule self-regulating fuzzy controller. Fuzzy Sets and Systems 47 (1) : 13-21. ScholarBank@NUS Repository.
Abstract: The most effective way to improve the performance of a fuzzy controller may be to optimize the fuzzy control rules. Usually fuzzy control rules are generated by: (1) translating the operators' experience into fuzzy linguistic form directly; (2) monitoring and summarizing the control behaviour of the operators; (3) modelling the process to be controlled using fuzzy set theory; (4) self organizing in running of the control systems. Different from the above means, the authors in [10] have proposed a method to regulate fuzzy control rules where the control rules are represented by an analytic expression with a regulating factor α. The authors in this paper employ such a method and use a simplified fuzzy control algorithm which allows fuzzy control rules to be regulated on line, thus constructing a Rule Self-regulating Fuzzy Controller (RSFC). Simulation results demonstrate that the performance of RSFC is better than that of a non-rule-regulating fuzzy controller. © 1992.
Source Title: Fuzzy Sets and Systems
URI: http://scholarbank.nus.edu.sg/handle/10635/116910
ISSN: 01650114
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.

Page view(s)

51
checked on Jan 20, 2018

Google ScholarTM

Check


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.