On the interpretation and identification of dynamic Takagi-Sugeno fuzzy models

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A Survey on Analysis and Design of Model-Based Fuzzy Control Systems (2006, methodology): “T–S fuzzy models? How to identify T–S fuzzy models to facilitate both accurate approximation and effective controller synthesis? The authors in [127] and [339] have shed some light on the issues.”
Perspectives of fuzzy systems and control (2005, background): “Very few publications are concerned with dynamic properties of fuzzy models [31].”
Observers for Takagi-Sugeno fuzzy systems (2002, background): “In [3] it is proved that a TS fuzzy system where the local affine dynamic models are off-equilibrium local linearizations leads to an arbitrary close approximation of the linear time varying (LTV) dynamic system resulting from dynamic linearization of the original nonlinear system about an…”
Observers design for uncertain Takagi-Sugeno systems with unmeasurable premise variables and unknown (2011, unknown): “Several techniques [13, 14, 15, 16] were developed in order to obtain such a structure from a general representation of a nonlinear system.”