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

fYear

2014

fDate

May 31 2014-June 2 2014

Firstpage

199

Lastpage

203

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Control and Decision Conference (2014 CCDC), The 26th Chinese

Conference_Location

Changsha

Print_ISBN

978-1-4799-3707-3

Type

conf

DOI

10.1109/CCDC.2014.6852144

Filename

6852144