New Results on Passivity for Discrete-Time Stochastic Neural Networks with Time-Varying Delays
Keyword(s):
The problem of passivity analysis for discrete-time stochastic neural networks with time-varying delays is investigated in this paper. New delay-dependent passivity conditions are obtained in terms of linear matrix inequalities. Less conservative conditions are obtained by using integral inequalities to aid in the achievement of criteria ensuring the positiveness of the Lyapunov-Krasovskii functional. At last, numerical examples are given to show the effectiveness of the proposed method.
2015 ◽
Vol 93
(4)
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pp. 398-408
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Keyword(s):
2010 ◽
Vol 24
(08)
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pp. 775-789
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2014 ◽
Vol 2014
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pp. 1-13
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2014 ◽
Vol 2014
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pp. 1-10
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2018 ◽
Vol 32
(04)
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pp. 1850041
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2010 ◽
Vol 2010
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pp. 1-19
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2015 ◽
Vol 742
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pp. 399-403