Title :
Robust stabilization of uncertain T-S fuzzy descriptor systems
Author :
Ma, Bao-ping ; Sun, Ji
Author_Institution :
Dept. of Control Sci. & Eng., Nanjing Normal Univ., China
Abstract :
This paper considers the problem of robust stabilization for uncertain Takagi-Sugeno (T-S) fuzzy descriptor system. The parametric uncertainty is assumed to be norm-bounded. Based on the Lyapunov method, the stability criterion of the closed-loop systems is derived in terms of linear matrix inequalities (LMI). The solutions of the LMI, which can be easily obtained using efficient convex optimization techniques, provide a state feedback controller.
Keywords :
Lyapunov methods; closed loop systems; fuzzy control; fuzzy systems; linear matrix inequalities; robust control; stability criteria; state feedback; Lyapunov method; closed-loop systems; linear matrix inequalities; norm-bounded problem; robust stabilization; stability criterion; state feedback control; uncertain T-S fuzzy descriptor systems; Control systems; Fuzzy control; Fuzzy systems; Linear matrix inequalities; Nonlinear systems; Robust stability; Robustness; Stability analysis; State feedback; Uncertainty;
Conference_Titel :
Machine Learning and Cybernetics, 2004. Proceedings of 2004 International Conference on
Print_ISBN :
0-7803-8403-2
DOI :
10.1109/ICMLC.2004.1380699