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Finite-Time Anti-synchronization of Multi-weighted Coupled Neural Networks With and Without Coupling Delays

机译:多加权耦合神经网络的有限时间反同步,无耦合延迟

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The multi-weighted coupled neural networks (MWCNNs) models with and without coupling delays are investigated in this paper. Firstly, the finite-time anti-synchronization of MWCNNs with fixed topology and switching topology is analyzed respectively by utilizing Lyapunov functional approach as well as some inequality techniques, and several anti-synchronization criteria are put forward for the considered networks. Furthermore, when the parameter uncertainties appear in MWCNNs, some conditions for ensuring robust finite-time anti-synchronization are obtained. Similarly, we also consider the finite-time anti-synchronization and robust finite-time anti-synchronization for MWCNNs with coupling delays under fixed and switched topologies respectively. Lastly, two numerical examples with simulations are provided to confirm the effectiveness of these derived results.
机译:本文研究了具有和不具有耦合延迟的多加权耦合神经网络(MWCNNS)模型。首先,通过利用Lyapunov功能方法以及一些不等式技术,分别分析了MWCNNS具有固定拓扑和切换拓扑的有限时间反同步,并提出了几种反同步标准的考虑网络。此外,当参数不确定性出现在MWCNN中时,获得了确保稳健有限时间防同步的一些条件。类似地,我们还考虑分别为MWCNNS的有限时间反同步和强大的有限时间反同步,分别具有固定和切换拓扑下的耦合延迟。最后,提供了两个具有仿真的数值例子以确认这些衍生结果的有效性。

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