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...

Full description

Bibliographic Details
Published in:IEEE Transactions on fuzzy systems 11, 6 (2003).
Main Author: Johansen, T.A
Format: Article
Language:English
Subjects:
Takagi-Sugeno fuzzy models.
Conflict analysis.
Global model accuracy.
Global model interpretability.
Local linear models.
Membership functions.
Multiobjective identification.
Multiobjective optimization.
Nonlinear system.