Global synchronization for hybrid coupled neural networks with interval time-varying delays: A matrix-based quadratic convex approach
2016 ◽
Vol 10
(02)
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pp. 1750025
Keyword(s):
This paper is concerned with the global synchronization problems for coupled neural networks (NNs) with hybrid coupling and interval time-varying delays. An appropriate Lyapunov–Krasovskii functional (LKF) and Kronecker product properties are used to form some new delay-dependent synchronization conditions in terms of linear matrix inequalities. A matrix-based quadratic convex approach introduce for sufficient conditions to ensure global synchronization where the time-varying delay is continuous uniformly bounded and its time-derivative bounded by upper and lower bounds. Simulation results are given to show the effectiveness and benefits of the proposed methods.
2015 ◽
Vol 2015
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Vol 687-691
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2015 ◽
Vol 742
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Vol 20
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pp. 1571-1589
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Vol 19
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pp. 269-283
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Vol 89
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2021 ◽
Vol 17
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pp. 146-155
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