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

Yi Tang, Runhua Wang, Zhiming Dong
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Abstract

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.
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具有离散区间时变时滞的不确定中立型时滞神经网络的新的时滞相关鲁棒稳定性准则
研究了具有离散区间时变时滞的不确定中立型时滞神经网络的时滞相关鲁棒稳定性问题。假设参数不确定性是范数有界的。基于Lyapunov-Krasovskii泛函、Leibniz-Newton公式和线性矩阵不等式(LMI)技术,通过引入一些自由权矩阵,给出了鲁棒稳定性条件。算例说明了所提结果的有效性。
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