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Quasi-Synchronization of Delayed Memristive Neural Networks via Region-Partitioning-Dependent Intermittent Control
IEEE Transactions on Cybernetics ( IF 11.8 ) Pub Date : 2019-12-01 , DOI: 10.1109/tcyb.2018.2856907
Sanbo Ding , Zhanshan Wang , Huaguang Zhang

This paper aims at investigating the master–slave quasi-synchronization of delayed memristive neural networks (MNNs) by proposing a region-partitioning-dependent intermittent control. The proposed method is described by three partitions of non-negative real region and an auxiliary positive definite function. Whether the control input is imposed on the slave system or not is decided by the dynamical relationships among the three subregions and the auxiliary function. From these ingredients, several succinct criteria with the associated co-design procedure are presented such that the synchronization error converges to a predetermined level. The proposed intermittent control scheme is also applied to the event-triggered control, and an intermittent event-triggered mechanism is devised to investigate the quasi-synchronization of MNNs correspondingly. Such mechanism eliminates the events in rest time, and then it reduces the amount of samplings. Finally, two illustrative examples are presented to verify the effectiveness of our theoretical results.

中文翻译:

基于区域划分的间歇控制对延迟忆阻神经网络的准同步

本文旨在通过提出一种依赖区域划分的间歇控制方法来研究延迟忆阻神经网络(MNN)的主-从准同步。该方法由非负实数区域和辅助正定函数的三个分区描述。控制输入​​是否施加在从属系统上,取决于三个子区域与辅助功能之间的动态关系。从这些成分中,提出了几个简洁的标准以及相关联的共同设计程序,以使同步误差收敛到预定水平。提出的间歇控制方案也应用于事件触发控制,并设计了一种间歇事件触发机制来研究MNN的准同步。这种机制消除了休息时间中的事件,然后减少了采样量。最后,给出了两个说明性的例子来验证我们理论结果的有效性。
更新日期:2019-12-01
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