Design of controller on synchronization of memristor-based neural networks with time-varying delays
Design of controller on synchronization of memristor-based neural networks with time-varying delays
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DOI：
10.1016/j.neucom.2014.06.048
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发表时间：
2015-01
期刊：
影响因子：
6
通讯作者：
Leimin Wang;Yi Shen
中科院分区：
文献类型：
--
作者：
Leimin Wang;Yi Shen
研究了具有时变时滞的忆阻神经网络的同步问题。利用Newton-Leibniz公式和不等式技术，设计了具有状态或输出耦合的控制器，实现了多神经网络的全局指数同步。所得到的时滞依赖条件易于检验，丰富和改进了已有文献的结果。最后，通过一个数值例子验证了所得结果的有效性.
In this paper, synchronization of memristor-based neural networks (MNNs) with time-varying delays is investigated. By employing the Newton–Leibniz formulation and inequality technique, the controller with state or output coupling is designed to obtain global exponential synchronization of MNNs. The obtained delay-dependent conditions can be checked easily and they also enrich and improve the results in earlier publications. Finally, one numerical example is given to demonstrate the effectiveness of the obtained results.