Periodically intermittent control for finite-time synchronization of delayed quaternion-valued neural networks

被引：0
|
作者：
Chaouki Aouiti
Mayssa Bessifi
机构：
[1] University of Carthage,Research Units of Mathematics and Applications UR13ES47, Department of Mathematics, Faculty of Sciences of Bizerta
来源：
Neural Computing and Applications | 2021年 / 33卷
关键词：
Finite-time synchronization; Quaternion-valued neural networks; Periodically intermittent control; Settling time;
D O I：
暂无
中图分类号：
学科分类号：
摘要：
In this paper, the finite-time synchronization between two delayed quaternion-valued neural networks (QVNNs) via the periodically intermittent feedback control is studied. Firstly, the finite-time synchronization problem is presented for the first time via the periodically intermittent control approach. Secondly, the upper bounds of the settling time for finite-time synchronization are estimated. Thirdly, a kind of novel controller, state feedback controller, which contains an integral term and delayed term, is proposed. Through these, the problem of finite-time synchronization has been solved very well. Finally, several new conditions ensuring finite-time synchronization of two delayed QVNNs are derived by establishing a new differential inequality and constructing a Lyapunov function. In the end, two numerical examples with simulations show the effectiveness of the derived results and the developed method.
引用
收藏
页码：6527 / 6547
页数：20
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