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

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3 Author(s)
M. Sami Fadali ; Department of Electrical and Biomedical Engineering, University of Nevada Reno, USA ; S. Jafarzadeh ; A. Nafeh

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:

Proceedings of the 2010 American Control Conference

Date of Conference:

June 30 2010-July 2 2010