Synchronization for singular neural networks with finite time characteristic under event-triggered scheme

被引:0
|
作者
Wu, Yifan [1 ]
Zhu, Jingjuan [1 ]
Pang, Yujing [1 ]
Fu, Yanran [1 ]
Hao, Mengjuan [1 ]
Meng, Yanan [1 ]
Zhuang, Guangming [1 ]
机构
[1] Liaocheng Univ, Sch Math Sci, Liaocheng 252059, Shandong, Peoples R China
基金
中国国家自然科学基金;
关键词
Finite-time synchronization; Singular systems; Neural networks; Event-triggered scheme; Mode-dependent L-K functional;
D O I
10.1109/FASTA61401.2024.10595229
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This article studies the master-slave synchronization for singular neural networks with finite time characteristic under event-triggered scheme. By developing novel Lyapunov-Krasovskii (L-K) functional, the master-slave synchronization of singular neural networks with finite time characteristic is achieved. The desired gains of state feedback synchronization controller and event-triggered weight matrices are co-designed under the framework of linear matrix inequalities. The usability of the presented approach is proved by a simulation example.
引用
收藏
页码:831 / 836
页数:6
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