Locally Exponential Stability of Discrete-time Complex Networks with Impulsive Input Saturation
Locally Exponential Stability of Discrete-time Complex Networks with Impulsive Input Saturation
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DOI：
10.1007/s12555-018-0608-6
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发表时间：
2019-02
期刊：
影响因子：
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通讯作者：
Keyu Chen;Chuandong Li;Liangliang Li
中科院分区：
文献类型：
--
作者：
Keyu Chen;Chuandong Li;Liangliang Li
本文研究了一类具有饱和脉冲输入的离散时间复杂网络的指数镇定问题。基于归纳法、凸分析和辅助矩阵，推导了具有脉冲输入饱和的离散时间复杂网络的指数稳定性的几种Lyapunov型稳定性判据。还给出了两个例子来说明所得结果的有效性和可行性。
In this paper, the problem of exponential stabilization for a class of discrete-time complex network with saturated impulse input is investigated. Based on the inductive method, convex analysis, and auxiliary matrix, several Lyapunov-type stability criteria are derived for exponential stability of discrete-time complex network with impulsive input saturation. Two examples are also presented to illustrate the effectiveness and the feasibility of the obtained results.