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
来源：
2024 3RD CONFERENCE ON FULLY ACTUATED SYSTEM THEORY AND APPLICATIONS, FASTA 2024 | 2024年
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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