Title :
Relaxed sufficient conditions for discrete-time uncertain fuzzy systems
Author :
He, Wenhu ; Yang, Xiaoguang ; Kang, Shuxia
Author_Institution :
Dept. of Math., Dalian Maritime Univ., Dalian, China
Abstract :
A new approach to robust stability of discrete-time uncertain T-S fuzzy systems is developed in this paper. The uncertain T-S fuzzy dynamic model is used to represent a class of discrete-time uncertain complex nonlinear systems. It is shown that the uncertain T-S fuzzy dynamic model is stable using relaxed fuzzy Lyapunov method. Constructive algorithm based on linear matrix inequality technique is also proposed to obtain the stable feedback gain. Finally, a numerical simulation example is gives to illustrate the effectiveness of the proposed method.
Keywords :
Lyapunov methods; discrete time systems; feedback; fuzzy systems; linear matrix inequalities; nonlinear control systems; stability; discrete-time uncertain T-S fuzzy systems; discrete-time uncertain complex nonlinear systems; fuzzy Lyapunov method; linear matrix inequality technique; robust stability; stable feedback gain; Control systems; Fuzzy control; Fuzzy systems; Helium; Linear matrix inequalities; Lyapunov method; Nonlinear systems; Stability; Sufficient conditions; Uncertain systems; discrete-time uncertain T-S fuzzy systems; feedback gain; fuzzy Lyapunov method; linear matrix inequality (LMI);
Conference_Titel :
Control and Decision Conference (CCDC), 2010 Chinese
Conference_Location :
Xuzhou
Print_ISBN :
978-1-4244-5181-4
Electronic_ISBN :
978-1-4244-5182-1
DOI :
10.1109/CCDC.2010.5498422