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Global robust exponential stability of complex-valued Cohen-Grossberg neural networks with mixed delays

机译:混合延误复合型科恩 - 格尔伯格神经网络的全球稳健的指数稳定性

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摘要

The global robust exponential stability of interval complex-valued Cohen-Grossberg neural networks (CGNNs)with mixed delays and distributed delays are considered in this paper. Based on some mild assumptions, we prove the existence, uniqueness and exponential stability of the equilibrium point of the interval complex-valued CGNNs. We introduce two numerical examples in the end.
机译:本文考虑了具有混合延迟和分布式延迟的间隔复值的间隔复值的Cohen-Grossberg神经网络(CGNNS)的全球稳健的指数稳定性。基于一些温和的假设,我们证明了间隔复值CGNN的平衡点的存在,唯一性和指数稳定性。我们最后介绍了两个数值例子。

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