ABSTRACT
Takagi-Sugeno fuzzy models or the so-called fuzzy dynamic models have been widely used to represent complex nonlinear systems. These models are particularly useful when the mechanism of a complex nonlinear system is not clear or its dynamics are not easy to establish. In this chapter, we discuss the detailed description of T-S fuzzy models, their approximation properties as nonlinear functions, and their identification procedures from given nonlinear models or from data generated from the underlying systems.
