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The suggested fuzzy model can express a given unknown system with a few fuzzy rules as well as Takagi and Sugeno's model (1985), because it has the same structure as that of Takagi and Sugeno's model.
Proceedings ArticleDOI
X.W. Yan, Zhidong Deng, Z.Q. Sun 
05 Sep 2001
12 Citations
Both proposed learning algorithms can also be used to design Takagi-Sugeno fuzzy logic controllers.
Improves some results associated with a modular and hierarchical evolutionary design of fuzzy systems, using a Takagi-Sugeno approach.
In this sense it is shown that the separation principle holds for Takagi–Sugeno fuzzy systems.
Open accessJournal ArticleDOI
33 Citations
In this paper, we show that other types of fuzzy relations, which are closely related to Takagi-Sugeno (T-S) models, are of major interest as well.
This method allows us to model the nonlinear relations between the variables with the Takagi-Sugeno fuzzy model.
In the present paper, it is demonstrated that the OBF Takagi-Sugeno fuzzy models previously introduced by the authors are particular realizations of a more general and interpretable formulation presented here, while being able to approximate to desired accuracy a wide class of non-linear dynamic systems.

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