Title :
TS fuzzy approach for fault detection in nonlinear systems with immeasurable state variables
Author :
Abid, Mohamed ; Hussain, Tauqeer ; Khan, Abdul Qayyum
Author_Institution :
Dept. of Electr. Eng., Pakistan Inst. of Eng. & Appl. Sci., Islamabad, Pakistan
fDate :
May 31 2014-June 2 2014
Abstract :
The design of TS Fuzzy observer for disturbance rejection based on ℋ∞ optimization index is discussed in this paper. The disturbance rejection observer for Takagi-Sugeno (TS) fuzzy system is designed with weight function depending on immeasurable premise variables and the residual generated is robust to disturbances. The linear matrix inequalities (LMI) which will minimize the optimizing index has also been stated.
Keywords :
fault diagnosis; fuzzy control; linear matrix inequalities; nonlinear control systems; observers; optimisation; ℋ∞ optimization index; LMI; TS fuzzy approach; TS fuzzy observer design; TS fuzzy system; Takagi-Sugeno fuzzy system; disturbance rejection observer; fault detection; immeasurable state variables; linear matrix inequalities; nonlinear systems; optimizing index; weight function; Fault detection; Fuzzy systems; Indexes; Nonlinear systems; Observers; Robustness; Takagi-Sugeno model; ℋ∞ index; ℒ2-gain; Fault detection observer; LMI; Multi-model approach; immeasurable premise variables;
Conference_Titel :
Control and Decision Conference (2014 CCDC), The 26th Chinese
Conference_Location :
Changsha
Print_ISBN :
978-1-4799-3707-3
DOI :
10.1109/CCDC.2014.6852144
