By Topic

Fuzzy TSK approximation using type-2 fuzzy logic systems and its application to modeling a photovoltaic array

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

3 Author(s)
Fadali, M.S. ; Dept. of Electr. & Biomed. Eng., Univ. of Nevada Reno, Reno, NV, USA ; Jafarzadeh, S. ; Nafeh, A.

This paper presents a simple approach to the fuzzy approximation of input-output data with a type-2 fuzzy model. The approach allows fuzzy type-2 modeling using data with input uncertainty, output uncertainty, or input-output uncertainty. The approximation error associated with the fuzzy representation is specified by the modeler and is used in the procedure to obtain the fuzzy model. We provide an example where type-2 fuzzy models of the characteristics of a photovoltaic array are obtained from input-output data with input, output, and input-output uncertainty.

Published in:

American Control Conference (ACC), 2010

Date of Conference:

June 30 2010-July 2 2010