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Pinning Synchronization of Nonlinear and Delayed Coupled Neural Networks with Multi-weights via Aperiodically Intermittent Control

机译:周期性间歇控制的多权重非线性时滞耦合神经网络的销钉同步

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This paper deals with the synchronization issues of delayed neural networks with multi-weights under aperiodically intermittent pinning control. There are three main differences of this paper with previous works: firstly, aperiodically intermittent pinning control scheme is used to synchronize the proposed neural networks; secondly, the model is delayed neural networks with multi-weights, which have several different sorts of weights between two nodes; thirdly, internal delay and multi-coupling delays are considered simultaneously. By establishing new nonlinear inequalities and constructing Lyapunov function, several sufficient criteria are derived to guarantee exponential synchronization for the proposed neural network models. Moreover, an effective pinned-node selection scheme which determines what kind of nodes should be prior controlled is provided. Finally, two illustrative examples are presented to demonstrate the effectiveness of the theoretical results.
机译:本文研究了非周期性间歇钉扎控制下具有多个权重的时滞神经网络的同步问题。本文与先前的工作有三个主要区别:首先,使用非周期性间歇式钉扎控制方案来同步所提出的神经网络。其次,该模型是具有多重权重的延迟神经网络,它在两个节点之间具有几种不同的权重。第三,同时考虑内部延迟和多重耦合延迟。通过建立新的非线性不等式并构造Lyapunov函数,导出了几个足以保证所提出的神经网络模型指数同步的准则。此外,提供了一种有效的固定节点选择方案,该方案确定了应先控制哪种节点。最后,给出了两个说明性的例子来证明理论结果的有效性。

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