Title :
Robust Global Exponential Stabilization of Nonlinear Impulsive Fuzzy Systems via LMI Technique
Author :
Jiang, Haibo ; Jianjiang Yu ; Zhou, Caigen
Author_Institution :
Dept. of Math., Yancheng Teachers Coll., Yancheng
Abstract :
This paper defines an impulsive fuzzy system by extending the ordinary T-S fuzzy model. The concept of parallel distributed compensation (PDC) is employed to design the state feedback controller. By Lyapunov method, the resulting closed-loop system is shown to be globally exponential stable. Sufficient conditions for global exponential stability of the closed-loop system are derived in terms of linear matrix inequalities (LMIs), which can be easily solved by LMI method. Simulation results illustrate the effectiveness of the proposed approach.
Keywords :
Lyapunov methods; asymptotic stability; closed loop systems; compensation; fuzzy systems; linear matrix inequalities; nonlinear control systems; robust control; state feedback; LMI technique; Lyapunov method; PDC; closed loop system; linear matrix inequalities; nonlinear impulsive fuzzy systems; ordinary T-S fuzzy model; parallel distributed compensation; robust global exponential stabilization; state feedback controller; Chaos; Control systems; Fuzzy control; Fuzzy systems; Lyapunov method; Nonlinear control systems; Robustness; Stability; State feedback; Systems engineering and theory; Lyapunov method; Nonlinear systems; exponential stability; fuzzy systems; impulsive systems;
Conference_Titel :
Computational Engineering in Systems Applications, IMACS Multiconference on
Conference_Location :
Beijing
Print_ISBN :
7-302-13922-9
Electronic_ISBN :
7-900718-14-1
DOI :
10.1109/CESA.2006.4281955