Title of article :
Robust stability analysis of uncertain T-S fuzzy systems with time-varying delay by improved delay-partitioning approach
Author/Authors :
Yang ، Jun - Civil Aviation Flight University of China , Luo ، Wen-Pin - Sichuan University of Science and Engineering , Shi ، Kai-Bo - University of Waterloo , Zhao ، Xin - Civil Aviation Flight University of China
Pages :
15
From page :
171
To page :
185
Abstract :
This paper focuses on the robust stability criteria of uncertain T-S fuzzy systems with time-varying delay by an improved delay-partitioning approach. An appropriate augmented Lyapunov-Krasovskii functional (LKF) is established by partitioning the delay in all integral terms. Since the relationship between each subinterval and time-varying delay has been taken a full consideration, and some tighter bounding inequalities are employed to deal with (time-varying) delay-dependent integral items of the derivative of LKF, less conservative delay-dependent stability criteria can be expected in terms of e s and LMIs. Finally, two numerical examples are provided to show that the proposed conditions are less conservative than existing ones.
Keywords :
T , S fuzzy systems , time , varying delay , delay , partitioning approach , stability , Lyapunov , Krasovskii functional (LKF) , linear matrix inequalities (LMIs)
Journal title :
Journal of Nonlinear Science and Applications
Serial Year :
2016
Journal title :
Journal of Nonlinear Science and Applications
Record number :
2475713
Link To Document :
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