Stabilization control of quaternion-valued fractional-order discrete-time memristive neural networks

被引：8
|
作者：
Li, Ruoxia [1 ]
Cao, Jinde [2 ,3 ]
Li, Ning [4 ]
机构：
[1] Shaanxi Normal Univ, Sch Math & Stat, Xian 710062, Peoples R China
[2] Southeast Univ, Sch Math, Nanjing 210096, Peoples R China
[3] Yonsei Univ, Yonsei Frontier Lab, Seoul 03722, South Korea
[4] Henan Univ Econ & Law, Coll Math & Informat Sci, Zhengzhou 450046, Henan, Peoples R China
来源：
NEUROCOMPUTING | 2023年 / 542卷
基金：
中国国家自然科学基金;
关键词：
Quaternion-valued; Fractional-order; Memristive; Discrete-time; Stabilization; STABILITY ANALYSIS;
D O I：
10.1016/j.neucom.2023.126255
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, the stabilization control of the memristive neural networks with discrete-time terms and fractional derivative is proposed. By employing the Lyapunov functional method and fully considering the integrity of the quaternion system, some sufficient criteria are derived based on nonlinear scalarization approach and several inequality techniques. The stabilization criteria are established in the form of algebraic inequality, which can be directly resolved by a simple calculation. Finally, two numerical examples are proposed to demonstrate the validity of theoretical results.(c) 2023 Elsevier B.V. All rights reserved.
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页数：10
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