Finite-time synchronization of proportional delay memristive competitive neural networks

被引：1
|
作者：
Han, Jiapeng [1 ]
Zhou, Liqun [1 ]
机构：
[1] Tianjin Normal Univ, Sch Math Sci, Tianjin 300387, Peoples R China
来源：
NEUROCOMPUTING | 2024年 / 610卷
关键词：
Memristive competitive neural networks; Finite-time synchronization; Proportional delays; STABILITY;
D O I：
10.1016/j.neucom.2024.128612
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
The finite-time synchronization (FTS) is considered for proportional delay memristive competitive neural networks (PDMCNNs). By utilizing Lyapunov functional method and differential inclusion theory, two new criteria ensuring the FTS of PDMCNNs are established. These criteria with algebraic inequality forms are less complicated and easier to verify than the matrix inequality forms. In addition, the corresponding settling times have been estimated. Eventually, the effectiveness of the presented criteria and controllers is confirmed through two numerical examples, and one application about image encryption is provided.
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页数：9
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