Delay-Dependent Stability Analysis for Recurrent Neural Networks with Time-Varying Delays
2012 ◽
Vol 2012
◽
pp. 1-14
◽
Keyword(s):
This paper concerns the problem of delay-dependent stability criteria for recurrent neural networks with time varying delays. By taking more information of states and activation functions as augmented vectors, a new class of the Lyapunov functional is proposed. Then, some less conservative stability criteria are obtained in terms of linear matrix inequalities (LMIs). Finally, two numerical examples are given to illustrate the effectiveness of the proposed method.
2014 ◽
Vol 513-517
◽
pp. 922-926
2015 ◽
Vol 93
(4)
◽
pp. 398-408
◽
2017 ◽
Vol 2017
◽
pp. 1-13
◽
2009 ◽
Vol 7
(1)
◽
pp. 9-13
◽