Exponential Stabilization of Neutral-Type Neural Networks with Interval Nondifferentiable and Distributed Time-Varying Delays
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The problem of exponential stabilization of neutral-type neural networks with various activation functions and interval nondifferentiable and distributed time-varying delays is considered. The interval time-varying delay function is not required to be differentiable. By employing new and improved Lyapunov-Krasovskii functional combined with Leibniz-Newton’s formula, the stabilizability criteria are formulated in terms of a linear matrix inequalities. Numerical examples are given to illustrate and show the effectiveness of the obtained results.
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2015 ◽
Vol 742
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pp. 399-403
2009 ◽
Vol 2009
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pp. 1-23
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2021 ◽
pp. 014233122199272
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2021 ◽
Vol 26
(03)
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pp. 269-290
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2016 ◽
Vol 10
(6)
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pp. 543-562
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