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Novel delay-dependent robust stability criteria for uncertain neutral-type delayed neural networks with discrete interval time-varying delays

机译:具有离散间隔时变延迟的不确定中性型延迟神经网络的新型延迟依赖性稳健稳定性标准

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In this paper, the delay-dependent robust stability is investigated for uncertain neutral-type delayed neural networks with discrete interval time-varying delays. The parameter uncertainties are assumed to be norm bounded. Based on the Lyapunov-Krasovskii functional, the Leibniz-Newton formula and the linear matrix inequality (LMI) technique, some robust stability conditions are proposed by introducing some free-weighting matrices. A numerical example is presented to illustrate the efficiency of proposed result.
机译:本文采用离散间隔时变延迟对不确定中性型延迟神经网络研究了延迟相关的鲁棒稳定性。 假设参数不确定性是常态的。 基于Lyapunov-Krasovskii功能,通过引入一些自由加权矩阵提出了一些鲁棒矩阵不等式(LMI)技术的Leibniz-Newton公式和线性矩阵不等式(LMI)技术。 提出了一个数值例子以说明所提出的结果的效率。

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