Some New Gronwall-Type Integral Inequalities and their Applications to Finite-Time Stability of Fractional-Order Neural Networks with Hybrid Delays

被引：1
|
作者：
Yang, Zhanying [1 ]
Zhang, Jie [2 ]
Hu, Junhao [1 ]
Mei, Jun [1 ]
机构：
[1] South Cent Minzu Univ, Sch Math & Stat, Wuhan 430074, Hubei, Peoples R China
[2] Hubei Univ Automot Technol, Sch Math Phys & Optoelect Engn, Shiyan 442002, Hubei, Peoples R China
来源：
NEURAL PROCESSING LETTERS | 2023年 / 55卷 / 08期
关键词：
Gronwall-type integral inequality; Mixed delays; Finite-time stability; Fractional-order neural networks; EXPONENTIAL STABILITY; DISCRETE; BELLMAN; EQUATIONS; SYSTEM;
D O I：
10.1007/s11063-023-11373-3
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
In this paper, some Gronwall-type integral inequalities with discrete and distributed delays are explored to analyze differential or integral systems with hybrid delays. These new inequalities generalize some previous ones which have played an important part in the research on dynamic behavior of systems. Based on the established Henry-Gronwall type integral inequality, an improved criterion is derived to ensure the finite-time stability for a class of fractional-order neural networks with hybrid delays. Finally, some numerical examples are provided to show the effectiveness and the less conservativeness of the obtained criterion.
引用
收藏
页码：11233 / 11258
页数：26
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