New Stability Criteria of Discrete Systems With Time-Varying Delays

被引：8

作者：

Liao, Daixi ^{[1
,2
]}

Zhong, Shouming ^{[1
]}

Cheng, Jun ^{[3
]}

Luo, Jinnan ^{[4
]}

Zhang, Xiaojun ^{[1
]}

Zhong, Qishui ^{[5
,6
]}

机构：

[1] Univ Elect Sci & Technol China, Sch Math Sci, Chengdu 611731, Sichuan, Peoples R China

[2] Hunan Inst Technol, Sch Math Sci & Energy Engn, Hengyang 421002, Peoples R China

[3] Qingdao Univ Sci & Technol, Sch Automat & Elect Engn, Qingdao 266061, Peoples R China

[4] Univ Elect Sci & Technol China, Sch Informat & Software Engn, Chengdu 611731, Sichuan, Peoples R China

[5] Univ Elect Sci & Technol China, Sch Aeronaut & Astronaut, Chengdu 611731, Sichuan, Peoples R China

[6] Univ Elect Sci & Technol China, Inst Elect & Informat Engn, Dongguan 523808, Peoples R China

来源：

IEEE ACCESS | 2019年 / 7卷

基金：

中国国家自然科学基金;

关键词：

Discrete neural networks; Lyapunov-Krasovskii functionals; stability; time-varying delays; NEURAL-NETWORKS; STABILIZATION; INEQUALITY;

D O I：

10.1109/ACCESS.2018.2882686

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 paper is concerned with the stability criteria of discrete neural networks with two additive input time-varying delays. By using the time delay division and a new summation inequality, a less conservative criterion is derived. Moreover, to compare the obtained criterion more directly with the existing results, a corollary is proposed accordingly. Finally, some numerical examples are presented to demonstrate that the obtained criteria are less conservative.

引用

页码：1677 / 1684

页数：8

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