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Identification of nonlinear systems by fuzzy models
Journal article

Identification of nonlinear systems by fuzzy models

Ronald Yager, Dimitar Filev and IEEE
IEEE International Conference on Fuzzy Systems : March 8-12, 1992, Town & Country Hotel, San Diego, California, pp.1401-1408
01/01/1992
DOI: https://doi.org/10.1109/FUZZY.1992.258710

Abstract

The concept of sampled probability distributions is introduced. A new formulation of the unified identification problem of quasi-linear fuzzy models (QLFMs) and quasi-nonlinear fuzzy models (QNFMs) (D. Filev, 1990, 1991) that considers simultaneously the structure and parameter identification is proposed. A learning algorithm realizing structure and parameter identification of QLFMs is proposed.

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