EXPONENTIAL STABILITY FOR STOCHASTIC NEURAL NETWORKS OF NEUTRAL TYPE WITH IMPULSIVE EFFECTS
2010 ◽
Vol 24
(11)
◽
pp. 1099-1110
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Keyword(s):
This paper is concerned with the exponential stability of stochastic neural networks of neutral type with impulsive effects. By employing the Lyapunov functional and stochastic analysis, a new stability criterion for the stochastic neural network is derived in terms of linear matrix inequality. A numerical example is provided to show the effectiveness and applicability of the obtained result.
2011 ◽
Vol 204-210
◽
pp. 1549-1552
Delay-Dependent Exponential Stability for Discrete-Time BAM Neural Networks with Time-Varying Delays
2008 ◽
Vol 2008
◽
pp. 1-14
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2009 ◽
Vol 23
(14)
◽
pp. 1743-1751
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2008 ◽
Vol 22
(32)
◽
pp. 3159-3170
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2010 ◽
Vol 2010
◽
pp. 1-14
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2017 ◽
Vol 10
(02)
◽
pp. 1750027
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2015 ◽
Vol 742
◽
pp. 399-403
2012 ◽
Vol 457-458
◽
pp. 716-722