DocumentCode :
2947532
Title :
Output feedback fuzzy control design of nonlinear MIMO system: An LMI approach
Author :
Abdel Hadi, Ahmed ; Hassan, Mohamed I. ; Elshafei, Abdel Latif
Author_Institution :
Ain Shams Univ., Cairo
fYear :
2007
fDate :
27-29 Nov. 2007
Firstpage :
44
Lastpage :
49
Abstract :
This paper presents an output feedback controller design method for continuous time Takagi-Sugeno (T-S) fuzzy systems, using a fuzzy Lyapunov function. The proposed output feedback fuzzy controller is made up of a fuzzy state feedback controller based on a fuzzy Lyapunov functions and fuzzy observer based on a common quadratic Lyapunov function. Each of the observer and controller is designed separately in a two-step procedure. It is shown that the state feedback control laws and observer gains can be obtained by solving a set of Linear Matrix Inequalities (LMI) that is numerically tractable with commercially available software. A nonlinear MIMO simulation example is given to demonstrate the advantage of the proposed method.
Keywords :
Lyapunov methods; MIMO systems; control system synthesis; fuzzy control; fuzzy systems; linear matrix inequalities; manipulators; nonlinear control systems; state feedback; Takagi-Sugeno fuzzy system; fuzzy Lyapunov function; linear matrix inequalities; observer gain; output feedback fuzzy control design; quadratic Lyapunov function; state feedback controller; two-link manipulator; uncertain nonlinear MIMO system; Control systems; Design methodology; Fuzzy control; Fuzzy systems; Linear feedback control systems; Lyapunov method; MIMO; Output feedback; State feedback; Takagi-Sugeno model;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Engineering & Systems, 2007. ICCES '07. International Conference on
Conference_Location :
Cairo
Print_ISBN :
978-1-4244-1365-2
Electronic_ISBN :
978-1-1244-1366-9
Type :
conf
DOI :
10.1109/ICCES.2007.4447024
Filename :
4447024
Link To Document :
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