DocumentCode
2505102
Title
Piecewise fuzzy control for uncertain nonlinear system
Author
Liu, Zhikang ; Wang, Yan ; Ji, Zhicheng
Author_Institution
Inst. of Electr. Autom., Jiangnan Univ., Wuxi
fYear
2008
fDate
25-27 June 2008
Firstpage
5208
Lastpage
5213
Abstract
Based on T-S fuzzy model, piecewise fuzzy Lyapunov function (PFLF) is adopted in the analysis of the stability of the a class of uncertainty nonlinear systems by defining the fuzzy Lyapunov function in each overlapping rules. The PFLF makes use of the premise of rules and the membership functions of the system. The sufficient condition is expressed with LMI on stability and performance of nonlinear system, and a way to design fuzzy robust controller based on state feedback is proposed. It can guarantee that the whole closed-loop system is asymptotically stability using the Hinfin controller and the effect of the disturbance input on the controlled output was reduced to a prescribed level. A illustrative example is provided to demonstrate the effectiveness of the controller based on this approach proposed in this paper.
Keywords
Hinfin control; Lyapunov methods; asymptotic stability; closed loop systems; fuzzy control; nonlinear control systems; robust control; state feedback; uncertain systems; Hinfin controller; T-S fuzzy model; asymptotic stability; closed-loop system; piecewise fuzzy Lyapunov function; piecewise fuzzy robust control; state feedback; uncertain nonlinear system; Control systems; Fuzzy control; Fuzzy systems; Lyapunov method; Nonlinear systems; Robust control; Robust stability; Stability analysis; Sufficient conditions; Uncertainty; LMI; fuzzy robust H∞ control; piecewise fuzzy Lyapunov function; uncertain nonlinear system;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Control and Automation, 2008. WCICA 2008. 7th World Congress on
Conference_Location
Chongqing
Print_ISBN
978-1-4244-2113-8
Electronic_ISBN
978-1-4244-2114-5
Type
conf
DOI
10.1109/WCICA.2008.4594537
Filename
4594537
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