基于lmi的离散时滞分数阶复值神经网络全局Mittag-Leffler同步准则

Xingxing You, S. Dian, Kai Liu, Guofei Xiang, Bin Guo, Haipeng Wang, Xu Zhang
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引用次数: 0

摘要

研究了具有时滞的离散分数阶复值神经网络的全局Mittag-Leffler同步问题。首先,导出了复域上Caputo分数阶差分的一个新引理。然后,通过构造适当的Lyapunov函数和设计一种新颖的复值线性反馈控制器,给出了基于lmi的充分准则,以保证所提网络的全局Mittag-Leffler同步。仿真结果表明了该控制方案的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
LMI-Based Criterion for Global Mittag-Leffler Synchronization of Discrete-time Fractional-Order Complex-Valued Neural Networks with Time Delay
In this paper, the global Mittag-Leffler synchronization of discrete-time fractional-order complex-valued neural networks with time delay is investigated. First of all, a new lemma for Caputo fractional difference is derived in complex field. Then, by constructing appropriate Lyapunov function and designing a novel complex-valued linear feedback controller, the LMI-based sufficient criterion is provided to ensure the global Mittag-Leffler synchronization of proposed networks. A simulation example is given to show the effectiveness of the control scheme.
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