The stability of impulsive stochastic Cohen–Grossberg neural networks with mixed delays and reaction–diffusion terms
作者： Jie Tan , Chuandong Li , Tingwen Huang
DOI: 10.1007/S11571-014-9316-Y
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摘要: The global asymptotic stability of impulsive stochastic Cohen–Grossberg neural networks with mixed delays and reaction–diffusion terms is investigated. Under some suitable assumptions using Lyapunov–Krasovskii functional method, we apply the linear matrix inequality technique to propose new sufficient conditions for addressed model in sense. time comprise both time-varying continuously distributed delays. effectiveness theoretical result illustrated by a numerical example.
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