Design of OBF-TS Fuzzy Models Based on Multiple Clustering Validity Criteria

Authors:
Jeremias B. Machado;Wagner C. Amaral;Ricardo J. G. B. Campello
Affiliations:
-;-;-
Venue:
ICTAI '07 Proceedings of the 19th IEEE International Conference on Tools with Artificial Intelligence - Volume 02
Year:
2007

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Abstract

Takagi-Sugeno Fuzzy Models within the framework of Orthonormal Basis Functions (OBF-TS Fuzzy Models) have shown to be an effective approach to nonlinear sys- tem identification and control due to several advantages they exhibit over those dynamic model topologies most com- monly adopted in the literature. Despite all the theoreti- cal advances and encouraging application results obtained so far, the automatic determination of the number of local OBF models remains an issue. This paper elaborates on the use of a mixture of clustering validity criteria to auto- matically determine the number of local models based on product space fuzzy clustering of I/O data.