On Less Conservative Stability Criteria for Neural Networks with Time-Varying Delays Utilizing Wirtinger-Based Integral Inequality
2014 ◽
Vol 2014
◽
pp. 1-13
◽
Keyword(s):
This paper investigates the problem of stability analysis for neural networks with time-varying delays. By utilizing the Wirtinger-based integral inequality and constructing a suitable augmented Lyapunov-Krasovskii functional, two less conservative delay-dependent criteria to guarantee the asymptotic stability of the concerned networks are derived in terms of linear matrix inequalities (LMIs). Three numerical examples are included to explain the superiority of the proposed methods by comparing maximum delay bounds with the recent results published in other literature.
2015 ◽
Vol 2015
◽
pp. 1-11
◽
2010 ◽
Vol 24
(08)
◽
pp. 775-789
◽
2012 ◽
Vol 2012
◽
pp. 1-14
◽
2015 ◽
Vol 93
(4)
◽
pp. 398-408
◽
2011 ◽
Vol 21
(1)
◽
pp. 127-135
◽