论文信息 - Robust Fault Detection for Uncertain Takagi-Sugeno Fuzzy Systems with Parametric Uncertainty and Process Disturbances

Robust Fault Detection for Uncertain Takagi-Sugeno Fuzzy Systems with Parametric Uncertainty and Process Disturbances

: : In this study, robust fault detection (RFD) is focused upon for continuous-time Takagi-Sugeno (TS) fuzzy systems with parametric uncertainties and process disturbances. The fuzzy fault generation observer is designed such that the residual signal is sensitive to the fault but robust to the uncertainties. The adaptive threshold is used for fault detection. Finally, an example is given to illustrate the proposed approach, copyright 2006 IFAC

Zhiwei Gao | Steven X. Ding | Magdy G. El-ghatwary

[1] Paul M. Frank,et al. Robust Controller Design for Uncertain Nonlinear Systems via Fuzzy Modelling Approach with Application to the Stabilization of Power Systems , 2002, Eur. J. Control.

[2] L. Wang,et al. Robust disturbance attenuation with stability for linear systems with norm-bounded nonlinear uncertainties , 1996, IEEE Trans. Autom. Control..