当前位置: X-MOL 学术J. Syst. Sci. Complex. › 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.)
Finite-Time and Fixed-Time Synchronization of Inertial Neural Networks with Mixed Delays
Journal of Systems Science and Complexity ( IF 2.6 ) Pub Date : 2020-11-07 , DOI: 10.1007/s11424-020-9029-8
Aouiti Chaouki , Assali El Abed

This paper considers the drive-response synchronization in finite-time and fixed-time of inertial neural networks with time-varying and distributed delays (mixed delays). First, by constructing a proper variable substitution, the original inertial neural networks can be rewritten as a first-order differential system. Second, by constructing Lyapunov functions and using differential inequalities, some new and effective criteria are obtained for ensuring the finite-time synchronization. Finally, three numerical examples are also given at the end of this paper to show the effectiveness of the results.



中文翻译:

具有混合延迟的惯性神经网络的有限时间和固定时间同步

本文考虑具有时变和分布时滞(混合时滞)的惯性神经网络在有限时间和固定时间的驱动响应同步。首先,通过构造适当的变量替换,可以将原始惯性神经网络重写为一阶微分系统。其次,通过构造李雅普诺夫函数并利用微分不等式,获得了一些新的有效准则来确保有限时间同步。最后,本文最后还给出了三个数值示例,以证明结果的有效性。

更新日期:2020-11-09
down
wechat
bug