Finite-Time Synchronization of Complex-Valued Neural Networks With Infinite Delays: A Criterion and Examples

被引：0
|
作者：
Gong, Haoyu [1 ]
Sheng, Yin [1 ]
Wang, Shen [2 ]
机构：
[1] Huazhong Univ Sci & Technol, Sch Artificial Intelligence & Automat, Wuhan, Peoples R China
[2] Huazhong Univ Sci & Technol, Coll Life Sci & Technol, Wuhan, Peoples R China
来源：
IEEE SYSTEMS MAN AND CYBERNETICS MAGAZINE | 2025年 / 11卷 / 01期
关键词：
STABILITY;
D O I：
10.1109/MSMC.2024.3433108
中图分类号：
TP3 [计算技术、计算机技术];
学科分类号：
0812 ;
摘要：
This paper discusses finite-time synchronization of complex-valued neural networks (CVNNs) with infinite delays. By utilizing non-separation approach, analytical strategy, and inequality techniques, a criterion is constructed to ensure that finite-time synchronization of CVNNs can be achieved. The designed controller only consists of state feedback term and sign function term. Finally, to confirm the effectiveness of the theoretical outcomes, two numerical examples are given.
引用
收藏
页码：4 / 10
页数：7
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