This paper addresses the problem of synchronization control of neutral-type neural networks with sampled-data, where sampled data will be over a communication network before received by controller. Generally, the communication network is with a bandwidth-limited communication channel. To reduce network burden, an event-triggered scheme is designed between the sampler and communication network. A weak synchronization conditions are derived by using our proposed integral inequality. Finally, a numerical example is given to illustrate the effectiveness and advantage of the proposed results.

中文翻译：

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通过自适应事件触发通信方案对中性神经网络与采样数据的同步控制

本文解决了具有采样数据的中性型神经网络的同步控制问题，其中采样数据将在通过通信网络传输之前被控制器接收。通常，通信网络具有带宽受限的通信信道。为了减轻网络负担，在采样器和通信网络之间设计了一个事件触发方案。通过使用我们提出的积分不等式，可以得出弱同步条件。最后，通过数值算例说明了所提出结果的有效性和优势。