Abstract
In this paper, new observer design approaches are presented for Takagi-Sugeno (T-S) fuzzy models with measurement output noises. In order to decouple the measurement noise, an augmented fuzzy descriptor model is first constructed. Then a fuzzy descriptor proportional and derivative (PD) observer is developed. When the fuzzy subsystems have the same output matrices, another fuzzy descriptor observer is designed, which can be transformed into a normal fuzzy observer. Via the proposed two kinds of fuzzy observer design, the state and the output noise can be estimated at the same time. The simulation result shows the satisfactory tracking performance.
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