Title :
Robust guaranteed cost control for 2-D nonlinear systems based on general-type T-S fuzzy model
Author_Institution :
Sch. of Math. & Phys., Shanghai Univ. of Electr. Power, Shanghai, China
Abstract :
In this paper, we consider the guaranteed cost control problem of 2-D T-S fuzzy system with norm-bounded parameter uncertainties. A 2-D fuzzy state feedback controller is designed such that the closed-loop system is asymptotically stable and a specified quadratic cost function has an upper bound for all admissible uncertainties. By using the established theorem, only r stabilization conditions are needed for this problem. Simulation example is given to illustrate the effectiveness of the proposed approach.
Keywords :
control system synthesis; cost optimal control; fuzzy control; nonlinear control systems; robust control; stability; state feedback; 2D fuzzy state feedback controller design; 2D nonlinear system; 2DT-S fuzzy system; general type T-S fuzzy model; guaranteed cost control problem; norm bounded parameter uncertainty; stabilization conditions; Cost function; Fuzzy systems; Mathematical model; Robustness; Stability analysis; State feedback; Uncertain systems; 2-D Fuzzy Systems; Robust Guaranteed Cost Control;
Conference_Titel :
Control Conference (CCC), 2014 33rd Chinese
Conference_Location :
Nanjing
DOI :
10.1109/ChiCC.2014.6895691
