Title :
Analysis and design of fuzzy robust observer for uncertain nonlinear systems
Author :
Shaocheng, Tong ; Yiqian, Tang
Author_Institution :
Liaoning Inst. of Technol., Jinzhou, China
Abstract :
This paper addresses the analysis and the design of fuzzy robust observer for a class of uncertain nonlinear systems on the basis of Takagi-Sugeno fuzzy model, which considers both the states unobservable problem and the uncertainty problem of fuzzy model. It is shown that the designed robust observers possess the stability and the state estimation errors converge to zero
Keywords :
control system analysis; control system synthesis; fuzzy control; fuzzy set theory; nonlinear systems; observers; uncertain systems; Takagi-Sugeno model; fuzzy model; fuzzy observer; nonlinear systems; state estimation; uncertain systems; Design methodology; Fuzzy control; Fuzzy systems; Mathematical model; Nonlinear dynamical systems; Nonlinear systems; Robust stability; Robustness; Stability analysis; Uncertainty;
Conference_Titel :
Fuzzy Systems, 2000. FUZZ IEEE 2000. The Ninth IEEE International Conference on
Conference_Location :
San Antonio, TX
Print_ISBN :
0-7803-5877-5
DOI :
10.1109/FUZZY.2000.839181
