Global projective synchronization in fractional-order quaternion valued neural networks

被引：16

作者：

Zhang, Weiwei ^{[1
,2
]}

Zhang, Hai ^{[2
]}

Cao, Jinde ^{[3
,4
]}

Zhang, Hongmei ^{[2
]}

Alsaadi, Fuad E. ^{[5
]}

Alsaedi, Ahmed ^{[6
]}

机构：

[1] Nanjing Univ Aeronaut & Astronaut, Dept Math, Nanjing 210093, Peoples R China

[2] Anqing Normal Univ, Sch Math & Phys, Anqing, Peoples R China

[3] Southeast Univ, Sch Math, Nanjing, Peoples R China

[4] Yonsei Univ, Yonsei Frontier Lab, Seoul, South Korea

[5] King Abdulaziz Univ, Dept Elect & Comp Engn, Fac Engn, Jeddah, Saudi Arabia

[6] King Abdulaziz Univ, Dept Math, Fac Sci, Jeddah, Saudi Arabia

来源：

ASIAN JOURNAL OF CONTROL | 2022年 / 24卷 / 01期

基金：

中国国家自然科学基金;

关键词：

fractional order; inequality; projective synchronization; quaternion valued neural networks; STABILITY; DELAYS;

D O I：

10.1002/asjc.2485

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The analysis of projective synchronization for fractional-order quaternion valued neural networks (FOQVNN) is addressed in this paper. The FOQVNN is separated into four real valued parts through Hamilton rules, enabling its synchronization analysis. Some criteria are formulated by the use of fractional differential inequality techniques; projective synchronization of FOQVNN is implemented by designing suitable hybrid controllers. One numerical example is given to show the feasibility of proposed methods.

引用

页码：227 / 236

页数：10

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