当前位置: X-MOL 学术Neural Process Lett. › 论文详情
Our official English website, www.x-mol.net, welcomes your feedback! (Note: you will need to create a separate account there.)
Fixed-Time Lag Synchronization Analysis for Delayed Memristor-Based Neural Networks
Neural Processing Letters ( IF 2.6 ) Pub Date : 2020-05-21 , DOI: 10.1007/s11063-020-10249-0
Xiahedan Haliding , Haijun Jiang , Abdujelil Abdurahman , Cheng Hu

In this paper, the fixed-time lag synchronization for a general class of memristor-based neural networks (MNNs) with time delays is considered. Under the extended Filippov-framework theory, some sufficient criteria for fixed-time lag synchronization of delayed MNNs are derived based on the Lyapunov function. Besides, two types of controllers are given to ensure the fixed-time lag synchronization of the corresponding system, while the settling time of synchronization are also estimated. Finally, a numerical example is given to demonstrate the effectiveness of the developed method and the theoretical results.

中文翻译:

基于延迟忆阻器的神经网络的固定时间滞后同步分析

在本文中,考虑了具有时滞的一般类忆阻器神经网络(MNN)的固定时滞同步。在扩展的Filippov框架理论下,基于Lyapunov函数,推导了延迟MNN的固定时间滞后同步的一些充分标准。此外,给出了两种类型的控制器以确保相应系统的固定时间滞后同步,同时还估计了同步的建立时间。最后,通过算例说明了所提方法的有效性和理论结果。
更新日期:2020-05-21
down
wechat
bug