Robust Stochastic Stability Analysis for Uncertain Neutral-Type Delayed Neural Networks Driven by Wiener Process
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System A
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The robust stochastic stability for a class of uncertain neutral-type delayed neural networks driven by Wiener process is investigated. By utilizing the Lyapunov-Krasovskii functional and inequality technique, some sufficient criteria are presented in terms of linear matrix inequality (LMI) to ensure the stability of the system. A numerical example is given to illustrate the applicability of the result.
2009 ◽
Vol 39
(5)
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pp. 2188-2197
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2019 ◽
Vol 42
(2)
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pp. 330-336
2014 ◽
Vol 69
(1-2)
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pp. 70-80
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2010 ◽
Vol 73
(13-15)
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pp. 2689-2695
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2019 ◽
Vol 50
(5)
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pp. 970-988
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