Multiobjective identification of Takagi-Sugeno fuzzy models.

Multiobjective identification of Takagi-Sugeno fuzzy models.

The problem of identifying the parameters of the constituent local linear models of Takagi-Sugeno fuzzy models is considered. In order to address the tradeoff between global model accuracy and interpretability of the local models as linearizations of a nonlinear system, two multiobjective identifica...

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Detalles Bibliográficos
Publicado en:IEEE Transactions on fuzzy systems 11, 6 (2003).
Autor principal: Johansen, T.A
Formato: Artículo
Lenguaje:English
Materias:
Takagi-Sugeno fuzzy models.
Conflict analysis.
Global model accuracy.
Global model interpretability.
Local linear models.
Membership functions.
Multiobjective identification.
Multiobjective optimization.
Nonlinear system.