Robust fault detection for nonlinear time-delay systems based on fuzzy observer

Robust fault detection method based on fuzzy sliding mode observers is developed for a class of uncertain nonlinear systems with time-delay. The uncertain Takagi-Sugeno fuzzy model with time-delay is adopted for fuzzy modeling of nonlinear system to reduce the modeling error, and a synthesis method...

Full description

Saved in:
Bibliographic Details
Published inProceedings of the 33rd Chinese Control Conference pp. 3224 - 3228
Main Authors Tao, Hongfeng, Zhang, Hua, Hu, Shousong
Format Conference Proceeding
LanguageEnglish
Published TCCT, CAA 01.07.2014
Subjects
Fault detection
Nonlinear systems
nonlinear time-delay systems
Observers
Robustness
sliding mode observer
T-S fuzzy model
Takagi-Sugeno model
Uncertainty
Online AccessGet full text

Cover

More Information
Summary:Robust fault detection method based on fuzzy sliding mode observers is developed for a class of uncertain nonlinear systems with time-delay. The uncertain Takagi-Sugeno fuzzy model with time-delay is adopted for fuzzy modeling of nonlinear system to reduce the modeling error, and a synthesis method of the design of sliding mode observers is introduced to generate the estimate state error and residual then to eliminate the effect of the unknown uncertainties of the system for avoiding false alarms, the synthesis method of the observers is presented via solving LMIs. Finally, a simulation example is given to show the design procedure and illustrate the effectiveness of the proposed method.
ISSN:2161-2927
DOI:10.1109/ChiCC.2014.6895469