Dissipativity and synchronization control of quaternion-valued fuzzy memristive neural networks: Lexicographical order method

被引：15
|
作者：
Li, Ruoxia [1 ]
Cao, Jinde [2 ,3 ]
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
来源：
FUZZY SETS AND SYSTEMS | 2022年 / 443卷
基金：
中国国家自然科学基金;
关键词：
Quaternion-valued; Memristor neural networks; Dissipativity; Synchronization; Fuzzy method; ALMOST-PERIODIC SOLUTIONS; STATE ESTIMATION; STABILITY; DELAYS; BIFURCATION; EXISTENCE; DISCRETE; MODEL;
D O I：
10.1016/j.fss.2021.10.015
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
This article focuses on a dissipativity and synchronization control method for a class of delayed quaternion-valued memristor-based recurrent neural networks. On the basis of Lyapunov functionals, analytical techniques, and novel control algorithms, sufficient conditions are established to achieve dissipativity and synchronization of fuzzy quaternion-valued memristive systems. Moreover, the lexicographical order method is introduced, and can be used to determine the "magnitude" of two different vectors. Finally, corresponding simulation results are provided to show the effectiveness of the proposed method. (C) 2021 Elsevier B.V. All rights reserved.
引用
收藏
页码：70 / 89
页数：20
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