Finite-Time Stability of Inertial Neural Networks with Delayed Impulses

被引：0

作者：

Wan, Xuran ^{[1
]}

Li, Lulu ^{[1
]}

Wang, Lei ^{[2
]}

机构：

[1] Hefei Univ Technol, Sch Math, Hefei 230009, Peoples R China

[2] Hefei Univ, Dept Math & Stat, Hefei 230601, Peoples R China

来源：

NEURAL PROCESSING LETTERS | 2024年 / 56卷 / 02期

基金：

中国国家自然科学基金;

关键词：

Inertial neural networks (INNs); Delayed impulses; Finite-time stability (FTS); Settling-time; Optimization; EXPONENTIAL STABILITY; SYSTEMS; SYNCHRONIZATION; DYNAMICS;

D O I：

10.1007/s11063-024-11476-5

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper studies the finite-time stability (FTS) of the inertial neural networks (INNs) with delayed impulses. Unlike previous related works, we consider the delayed impulses and propose a new impulsive control strategy. We extend the existing FTS results to the cases with delayed impulses. We also establish some global and local FTS criteria of INNs. Moreover, we estimate the settling-time in different cases and investigate the optimization strategy. We present three numerical examples to verify the validity of our theoretical results.

引用

页数：22

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