Fixed-time synchronization for complex-valued BAM neural networks with time delays

被引：20

作者：

Zhang, Ziye ^{[1
]}

Guo, Runan ^{[1
,2
]}

Liu, Xiaoping ^{[3
]}

Zhong, Maiying ^{[4
]}

Lin, Chong ^{[5
]}

Chen, Bing ^{[5
]}

机构：

[1] Shandong Univ Sci & Technol, Coll Math & Syst Sci, Qingdao, Shandong, Peoples R China

[2] Nanjing Univ Sci & Technol, Sch Automat, Nanjing, Jiangsu, Peoples R China

[3] Lakehead Univ, Dept Elect Engn, Thunder Bay, ON, Canada

[4] Shandong Univ Sci & Technol, Coll Elect Engn & Automat, Qingdao, Shandong, Peoples R China

[5] Qingdao Univ, Inst Complex Sci, Qingdao, Shandong, Peoples R China

来源：

ASIAN JOURNAL OF CONTROL | 2021年 / 23卷 / 01期

基金：

加拿大自然科学与工程研究理事会; 中国国家自然科学基金;

关键词：

complex-valued BAM neural networks; fixed-time synchronization; nonlinear delayed controller; time delays; FINITE-TIME; NONLINEAR-SYSTEMS; STABILITY; STABILIZATION; DESIGN;

D O I：

10.1002/asjc.2185

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this paper, the fixed-time synchronization for complex-valued bidirectional associative memory (BAM) neural networks with time delays is studied. Based on the fixed-time stability, the Lyapunov functional method and some inequality techniques, a new criterion is presented to guarantee that the addressed systems achieve synchronization in fixed time and a more accurate estimation independent of the initial conditions is given for the settling time. Meanwhile, a new nonlinear delayed controller different from the existing ones is designed. In the end, two numerical examples are provided to illustrate the effectiveness of the obtained result.

引用

页码：298 / 314

页数：17

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