DocumentCode :
583620
Title :
Output feedback stabilization condition for nonlinear systems using artificial T-S fuzzy model
Author :
Kim, Dae Young ; Park, Jin Bae ; Joo, Young Hoon
Author_Institution :
Dept. of Electr. & Electron. Eng., Yonsei Univ., Seoul, South Korea
fYear :
2012
fDate :
17-21 Oct. 2012
Firstpage :
96
Lastpage :
100
Abstract :
This paper presents output feedback stabilization condition for nonlinear using artificial Takagi-Sugeno (T-S) fuzzy systems. Continuous membership functions of the T-S fuzzy model are represented by staircase ones. Stabilization condition in terms of linear-matrix-inequalities (LMIs) formulation is derived using the artificial T-S fuzzy model and Lyapunov function. Controller gains of output feedback T-S fuzzy systems are obtained using LMIs solutions. Finally, simulation example is given to illustrate the merits of the proposed method.
Keywords :
Lyapunov methods; feedback; fuzzy control; fuzzy systems; linear matrix inequalities; nonlinear systems; stability; LMI formulation; LMI solutions; Lyapunov function; artificial T-S fuzzy model; artificial Takagi-Sugeno fuzzy systems; continuous membership functions; controller gains; linear-matrix-inequality formulation; nonlinear systems; output feedback T-S fuzzy systems; output feedback stabilization condition; Fuzzy control; Lyapunov methods; Matrices; Nonlinear systems; Output feedback; Vectors; Takagi-Sugeno(T-S) fuzzy model; artificial T-S fuzzy model; linear-matrix inequality(LMI); output feedback; staircase membership function;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control, Automation and Systems (ICCAS), 2012 12th International Conference on
Conference_Location :
JeJu Island
Print_ISBN :
978-1-4673-2247-8
Type :
conf
Filename :
6393411
Link To Document :
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