Polynomial synchronization of complex-valued inertial neural networks with multi-proportional delays

被引：1
|
作者：
Yao, Zhuang [1 ]
Zhang, Ziye [1 ]
Wang, Zhen [1 ]
Lin, Chong [2 ]
Chen, Jian [3 ]
机构：
[1] Shandong Univ Sci & Technol, Coll Math & Syst Sci, Qingdao 266590, Peoples R China
[2] Qingdao Univ, Inst Complex Sci, Qingdao 266071, Peoples R China
[3] Qingdao Univ Technol, Coll Automat Engn, Qingdao 266555, Peoples R China
来源：
COMMUNICATIONS IN THEORETICAL PHYSICS | 2022年 / 74卷 / 12期
基金：
中国国家自然科学基金;
关键词：
complex-valued inertial neural networks; polynomial synchronization; multi-proportional delays; non-separation approach; EXPONENTIAL SYNCHRONIZATION; STABILITY; TIME; DYNAMICS; ORDER;
D O I：
10.1088/1572-9494/ac8bce
中图分类号：
O4 [物理学];
学科分类号：
0702 ;
摘要：
This paper investigates the polynomial synchronization (PS) problem of complex-valued inertial neural networks with multi-proportional delays. It is analyzed based on the non-separation method. Firstly, an exponential transformation is applied and an appropriate controller is designed. Then, a new sufficient criterion for PS of the considered system is derived by the Lyapunov function approach and some inequalities techniques. In the end, a numerical example is given to illustrate the effectiveness of the obtained result.
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页数：8
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