DocumentCode
231366
Title
Robust fault detection for nonlinear time-delay systems based on fuzzy observer
Author
Tao Hongfeng ; Zhang Hua ; Hu Shousong
Author_Institution
Key Lab. of Adv. Process Control for Light Ind. Minist. of Educ., Jiangnan Univ., Wuxi, China
fYear
2014
fDate
28-30 July 2014
Firstpage
3224
Lastpage
3228
Abstract
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.
Keywords
control system synthesis; delay systems; fault diagnosis; fuzzy control; linear matrix inequalities; nonlinear control systems; observers; robust control; uncertain systems; variable structure systems; LMI; fuzzy sliding mode observers; linear matrix inequalities; nonlinear time-delay system; robust fault detection; state error estimation; synthesis method; uncertain Takagi-Sugeno fuzzy model; Fault detection; Nonlinear systems; Observers; Robustness; Takagi-Sugeno model; Uncertainty; T-S fuzzy model; fault detection; nonlinear time-delay systems; sliding mode observer;
fLanguage
English
Publisher
ieee
Conference_Titel
Control Conference (CCC), 2014 33rd Chinese
Conference_Location
Nanjing
Type
conf
DOI
10.1109/ChiCC.2014.6895469
Filename
6895469
Link To Document