Title :
Dynamic output feedback for T-S fuzzy model based on chaotic systems with uncertainties
Author :
Zhaona Chen ; Yuanwei Jing ; Dimirovski, G.M.
Author_Institution :
Fac. of Inf. Sci. & Eng., Northeastern Univ., Shenyang, China
fDate :
June 30 2010-July 2 2010
Abstract :
In this paper, a novel Takagi-Sugeno (T-S) fuzzy model-based method is proposed for controlling a class of chaotic systems with uncertain parameters. The T-S fuzzy model is employed for accurately modeling the chaotic systems. Based on the T-S fuzzy model, the parallel distributed compensation (PDC) technique is applied to design a dynamic output feedback controller for the chaotic systems. By using Lyapunov stability theory, the robust stability of the closed-loop system is proved. The condition in this paper is represented in the form of linear matrix inequalities (LMIs). The new method considers the interactions among all fuzzy subsystems. Finally, as an illustrative example, Chen system is considered to verify the effectiveness of the control scheme.
Keywords :
Lyapunov methods; chaos; closed loop systems; distributed control; feedback; fuzzy control; linear matrix inequalities; Lyapunov stability theory; T-S fuzzy model; Takagi-Sugeno fuzzy model based method; chaotic system; closed-loop system; dynamic output feedback control; fuzzy subsystems; linear matrix inequalities; parallel distributed compensation technique; robust stability; uncertain parameter; Chaos; Control systems; Fuzzy control; Fuzzy systems; Linear matrix inequalities; Lyapunov method; Output feedback; Robust stability; Takagi-Sugeno model; Uncertainty;
Conference_Titel :
American Control Conference (ACC), 2010
Conference_Location :
Baltimore, MD
Print_ISBN :
978-1-4244-7426-4
DOI :
10.1109/ACC.2010.5531461