Observer-based impulsive control for finite-time synchronization of delayed neural networks on time scales

被引：0
|
作者：
Zhang, Chuan [1 ]
Liu, Ruihong [1 ]
Zhang, Xianfu [2 ]
Guo, Yingxin [1 ]
机构：
[1] Qufu Normal Univ, Sch Math Sci, Qufu 273165, Shandong, Peoples R China
[2] Shandong Univ, Sch Control Sci & Engn, Jinan 250061, Shandong, Peoples R China
来源：
JOURNAL OF APPLIED MATHEMATICS AND COMPUTING | 2025年 / 71卷 / 01期
基金：
中国博士后科学基金; 中国国家自然科学基金;
关键词：
Finite-time synchronization; Delayed neural networks; Time scale; Impulsive control; Observer;
D O I：
10.1007/s12190-024-02268-0
中图分类号：
O29 [应用数学];
学科分类号：
070104 ;
摘要：
This paper investigates the finite-time synchronization (FTS) of delayed neural networks on time scales via impulsive control. First, an impulsive controller is designed when system states are accessible. Based on the time scale theory and mathematical induction method, a sufficient condition for FTS is presented. Then, an observer is provided to estimate system states when partial states can not be available. An observer-based impulsive controller is devised to ensure that both the observer error system and the synchronization error system converges to zero in finite time. Furthermore, the explicit expression for settling time of the FTS is given. Finally, the validity of our methods is verified by a numerical simulation.
引用
收藏
页码：627 / 642
页数：16
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