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Further results on delay-dependent exponential stability for uncertain stochastic neural networks with mixed delays and Markovian jump parameters

机译:具有混合时滞和马尔可夫跳跃参数的不确定随机神经网络的时滞相关指数稳定性的进一步结果

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摘要

This paper studies the problem of the robustly exponential stability of uncertain stochastic neural networks with mixed delays and Markovian jump parameters. In terms of linear matrix inequalities approach, some new delay-dependent stability criteria are established for the considered systems by constructing a modified Lyapunov–Krasovskii functional. And our derived results shown by three illustrative examples are more effective than some existing ones.
机译:研究了具有混合时滞和马尔可夫跳跃参数的不确定随机神经网络的鲁棒指数稳定性问题。在线性矩阵不等式方法方面,通过构造经修改的Lyapunov–Krasovskii泛函,为考虑的系统建立了一些新的时滞相关稳定性准则。三个示例性示例显示的推导结果比某些现有示例更有效。

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