Design of fuzzy observer for a three tank system

In this paper, the authors have presented an approach for designing a non-linear observer to estimate the states of a noisy dynamic system (Three-tank system). The three tank system is regarded as a valuable experimental setup for investigating nonlinear multivariable feedback control as well as fault diagnosis. The authors make use of kalman filter theory to design a state estimator for noisy discrete time Takagi-Sugeno (T-S) fuzzy models. The effectiveness of the proposed state estimator has been demonstrated on a three-tank system.