Adaptive Synchronization of Memristor-Based Neural Networks with Time-Varying Delays
Adaptive Synchronization of Memristor-Based Neural Networks with Time-Varying Delays
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DOI：
10.1109/tnnls.2014.2361776
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发表时间：
2015-09
影响因子：
10.4
通讯作者：
Leimin Wang;Yi Shen;Q. Yin;Guodong Zhang
中科院分区：
文献类型：
--
作者：
Leimin Wang;Yi Shen;Q. Yin;Guodong Zhang
研究了具有时变时滞的忆阻神经网络的自适应同步问题。动力学分析在这里采用的结果从微分方程的理论与不连续的右手边介绍Filippov。利用一般的自适应控制器建立了多神经网络全局同步的充分条件。可以调整控制器的更新增益以控制同步速度。所得结果补充和改进了以前已知的结果。最后，通过数值仿真验证了所得结果的有效性.
In this paper, adaptive synchronization of memristor-based neural networks (MNNs) with time-varying delays is investigated. The dynamical analysis here employs results from the theory of differential equations with discontinuous right-hand sides as introduced by Filippov. Sufficient conditions for the global synchronization of MNNs are established with a general adaptive controller. The update gain of the controller can be adjusted to control the synchronization speed. The obtained results complement and improve the previously known results. Finally, numerical simulations are carried out to demonstrate the effectiveness of the obtained results.