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

Author

Fadali, Mohammed Sami ; Jafarzadeh, Saeed ; Nafeh, A.

Author_Institution

Dept. of Electr. & Biomed. Eng., Univ. of Nevada Reno, Reno, NV, USA

fYear

2010

fDate

June 30 2010-July 2 2010

Firstpage

6454

Lastpage

6459

Abstract

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.

Keywords

approximation theory; fuzzy logic; fuzzy set theory; solar cells; approximation error; fuzzy TSK approximation; fuzzy type-2 modeling; input-output uncertainty; photovoltaic array modelling; type-2 fuzzy logic systems; Biomedical engineering; Fuzzy control; Fuzzy logic; Fuzzy systems; Logic arrays; Photovoltaic systems; Renewable energy resources; Shape; Solar power generation; Uncertainty;

fLanguage

English

Publisher

ieee

Conference_Titel

American Control Conference (ACC), 2010

Conference_Location

Baltimore, MD

ISSN

0743-1619

Print_ISBN

978-1-4244-7426-4

Type

conf

DOI

10.1109/ACC.2010.5531458

Filename

5531458