当前位置: X-MOL 学术Neural Netw. › 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.)
Cluster stochastic synchronization of complex dynamical networks via fixed-time control scheme.
Neural Networks ( IF 7.8 ) Pub Date : 2020-01-07 , DOI: 10.1016/j.neunet.2019.12.019
Wanli Zhang 1 , Chuandong Li 2 , Hongfei Li 2 , Xinsong Yang 3
Affiliation  

By means of fixed-time (FDT) control technique, cluster stochastic synchronization of complex networks (CNs) is investigated. Quantized controller is designed to realize the synchronization of CNs within a settling time. FDT synchronization criteria are established with the help of Lyapunov functional and comparison system methods. It should be noted that the convergence of synchronization is further improved by comparing with existing FDT synchronization results. Numerical simulations are given to illustrate our results.

中文翻译:

通过固定时间控制方案对复杂动态网络进行集群随机同步。

借助固定时间(FDT)控制技术,研究了复杂网络(CN)的集群随机同步。量化控制器旨在在建立时间内实现CN的同步。在Lyapunov功能和比较系统方法的帮助下,建立了FDT同步标准。应当注意,与现有的FDT同步结果相比,同步的收敛性得到了进一步的改善。数值模拟说明了我们的结果。
更新日期:2020-01-07
down
wechat
bug