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Synchronization of delayed discrete-time neural networks subject to saturated time-delay feedback

机译:饱和时滞反馈作用下的时滞离散时间神经网络的同步

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摘要

This paper considers the synchronization problem of delayed discrete-time neural networks under saturated time-delay feedback. Based on the drive-response concept, and using generalized delay-dependent sector condition, appropriate Lyapunov-Krasovskii (L-K) ftinctionals, and some finite-sum inequalities, two delay-dependent local synchronization conditions are well established in terms of linear matrix inequalities (LMIs). In addition, global synchronization conditions are also proposed on the basis of classical sector condition. Finally, numerical examples and simulations illustrate the effectiveness of the proposed synchronization conditions in this paper. (C) 2015 Elsevier B.V. All rights reserved.
机译:考虑饱和时滞反馈下的时滞离散时间神经网络的同步问题。基于驱动响应概念,并使用广义时滞相关的扇区条件,适当的Lyapunov-Krasovskii(LK)函数以及一些有限和不等式,根据线性矩阵不等式(2)很好地建立了两个时滞相关的局部同步条件( LMI)。另外,还基于经典扇区条件提出了全局同步条件。最后,数值算例和仿真表明了本文提出的同步条件的有效性。 (C)2015 Elsevier B.V.保留所有权利。

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