DocumentCode :
2334477
Title :
Analysis and design of fuzzy controller based on observer
Author :
Yiqian, Tang ; Shaocheng, Tong
Author_Institution :
Postgrad. Sch., Liaoning Inst. of Technol., Jinzhou, China
Volume :
3
fYear :
2000
fDate :
2000
Firstpage :
1813
Abstract :
This paper presents stability for a class of uncertain discrete-time nonlinear systems and a method for designing robust fuzzy observer and fuzzy controller to stabilize the uncertain nonlinear systems whose states are unobservable. To design fuzzy observer and fuzzy controller, uncertain nonlinear systems are represented by Takagi-Sugeno (T-S) fuzzy models (1992) with uncertainty. The concept of parallel and distributed compensation is employed to design fuzzy robust observer and fuzzy robust controller from T-S fuzzy models. Stability conditions are derived from quadratic stabilization and linear matrix inequality (LMI)
Keywords :
compensation; control system synthesis; discrete time systems; fuzzy control; matrix algebra; nonlinear control systems; observers; robust control; stability criteria; LMI; T-S fuzzy models; Takagi-Sugeno fuzzy models; fuzzy controller analysis; fuzzy controller design; fuzzy robust controller; linear matrix inequality; parallel compensation; quadratic stabilization; robust fuzzy observer; stability conditions; uncertain discrete-time nonlinear systems; unobservable states; Control system synthesis; Control systems; Design methodology; Fuzzy control; Fuzzy systems; Nonlinear control systems; Nonlinear systems; Robust control; Robust stability; Takagi-Sugeno model;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Control and Automation, 2000. Proceedings of the 3rd World Congress on
Conference_Location :
Hefei
Print_ISBN :
0-7803-5995-X
Type :
conf
DOI :
10.1109/WCICA.2000.862787
Filename :
862787
Link To Document :
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