DocumentCode :
583622
Title :
Robust stabilization condition for a polynomial fuzzy system with parametric uncertainties
Author :
Kim, Han Sol ; 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 :
107
Lastpage :
111
Abstract :
This paper concerns with the robust stabilization condition for the polynomial fuzzy system with parametric uncertainties. In the existing methods, nonlinear system with parametric uncertainties was modeled to the T-S fuzzy system. However, these methods has problem such as large number of the fuzzy rule. Therefore, this paper uses the polynomial fuzzy modeling method to manipulate the robust stabilization problem for the parameter uncertain nonlinear system. Furthermore, since new robust stabilization condition is derived from the polynomial Lyapunov function, so the condition is less conservative than previous robust stabilization condition. Finally, numerical example is given to show the validity of proposed method.
Keywords :
Lyapunov methods; fuzzy control; fuzzy set theory; nonlinear control systems; polynomials; robust control; uncertain systems; T-S fuzzy system; fuzzy rule; parameter uncertain nonlinear system; polynomial Lyapunov function; polynomial fuzzy modeling; polynomial fuzzy system; robust stabilization condition; Bismuth; Fuzzy systems; Lyapunov methods; Nonlinear systems; Polynomials; Robustness; Uncertainty; Polynomial fuzzy system; parametric uncertainty; polynomial Lyapunov function; robust control; sum-of-square;
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 :
6393413
Link To Document :
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