Please use this identifier to cite or link to this item: https://doi.org/10.1109/FUZZY.2006.1681760
Title: On-line learning rules for type-2 fuzzy controller
Authors: Tan, W.W. 
Kamal, D.H.
Keywords: Adaptive control
Type-2 fuzzy control
Issue Date: 2006
Source: Tan, W.W.,Kamal, D.H. (2006). On-line learning rules for type-2 fuzzy controller. IEEE International Conference on Fuzzy Systems : 513-520. ScholarBank@NUS Repository. https://doi.org/10.1109/FUZZY.2006.1681760
Abstract: This paper presents an algorithm for tuning the parameters of a type-2 fuzzy controller that functions as the feedforward controller in an adaptive control scheme. Both the consequent weights and the Footprint of Uncertainty (FOU) associated with the antecedent fuzzy sets are adjusted simultaneously. Simulation results, obtained using the nonlinear pH neutralization process, are presented to demonstrate the feasibility of the proposed learning rule. © 2006 IEEE.
Source Title: IEEE International Conference on Fuzzy Systems
URI: http://scholarbank.nus.edu.sg/handle/10635/71258
ISBN: 0780394887
ISSN: 10987584
DOI: 10.1109/FUZZY.2006.1681760
Appears in Collections:Staff Publications

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

SCOPUSTM   
Citations

4
checked on Dec 11, 2017

Page view(s)

18
checked on Dec 16, 2017

Google ScholarTM

Check

Altmetric


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