An M-matrix approach to robust exponential stability of uncertain linear delay systems

Author(s):  
Bin Liu ◽  
Xiao-xin Liao ◽  
Xin-zhi Liu
2013 ◽  
Vol 62 (9) ◽  
pp. 781-790 ◽  
Author(s):  
Gilberto Ochoa ◽  
Vladimir L. Kharitonov ◽  
Sabine Mondié

2009 ◽  
Vol 06 (01) ◽  
pp. 61-71 ◽  
Author(s):  
HUAICHENG YAN ◽  
MAX Q.-H. MENG ◽  
XINHAN HUANG ◽  
HAO ZHANG

In this paper, the delay-dependent robust exponential mean-square stability analysis problem is considered for a class of uncertain stochastic systems with time-varying delay and nonlinear perturbations. Some sufficient conditions on delay-dependent robust exponential stability in the mean square are established in terms of linear matrix inequalities (LMIs) by exploiting a novel Lyapunov–Krasovskii functional and by making use of zero equations methods. These developed results indicate less conservatism than the existing ones due to the introduction of some free weighting matrices which can be selected properly. The new delay-dependent stability criteria are expressed as a set of LMIs, which can be readily solved by using standard numerical software. Numerical examples are provided to demonstrate the effectiveness and the applicability of the proposed criteria.


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