Novel methods to global Mittag-Leffler stability of delayed fractional-order quaternion-valued neural networks

被引:17
|
作者
Yan, Hongyun [1 ]
Qiao, Yuanhua [1 ]
Duan, Lijuan [2 ]
Miao, Jun [3 ]
机构
[1] Beijing Univ Technol, Fac Sci, Beijing 100124, Peoples R China
[2] Beijing Univ Technol, Fac Informat Technol, Beijing 100124, Peoples R China
[3] Beijing Informat Sci & Technol Univ, Sch Comp Sci, Beijing 100101, Peoples R China
基金
中国国家自然科学基金;
关键词
Fractional-order; Mittag-Leffler stability; Quaternion-valued neural networks; Leakage delay; Time-varying delay; SYNCHRONIZATION; LEAKAGE; DESIGN; FINITE;
D O I
10.1016/j.neunet.2021.07.005
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, a type of fractional-order quaternion-valued neural networks (FOQVNNs) with leakage and time-varying delays is established to simulate real-world situations, and the global Mittag-Leffler stability of the system is investigated by using the non-decomposition method. First, to avoid decomposing the system into two complex-valued systems or four real-valued systems, a new sign function for quaternion numbers is introduced based on the ones for real and complex numbers. And two novel lemmas for quaternion-valued sign function and Caputo fractional derivative are established in quaternion domain, which are used to investigate the stability of FOQVNNs. Second, a concise and flexible quaternion-valued state feedback controller is directly designed and a novel 1-norm Lyapunov function composed of the absolute values of real and imaginary parts is established. Then, based on the designed quaternion-valued state feedback controller and the proposed lemmas, some sufficient conditions are given to ensure the global Mittag-Leffler stability of the system. Finally, a numerical simulation is given to verify the theoretical results. (C) 2021 Elsevier Ltd. All rights reserved.
引用
收藏
页码:500 / 508
页数:9
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