Title :
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
fDate :
June 30 2010-July 2 2010
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;
Conference_Titel :
American Control Conference (ACC), 2010
Conference_Location :
Baltimore, MD
Print_ISBN :
978-1-4244-7426-4
DOI :
10.1109/ACC.2010.5531458
