Asymptotic synchronization of conformable fractional-order neural networks by L' Hopital's rule

被引:2
|
作者
Xiong, Xinsheng [1 ]
Zhang, Zhengqiu [2 ]
机构
[1] Huaihua Univ, Sch Math & Computat Sci, Huaihua 418000, Peoples R China
[2] Hunan Univ, Sch Math, Changsha 410082, Peoples R China
关键词
CFONNS; The established DIS of CFONNS; GAS; Limit algorithms of functions; L' Hopital's rule and limit algorithms; FINITE-TIME SYNCHRONIZATION; PROJECTIVE SYNCHRONIZATION; EXPONENTIAL STABILITY; CRITERIA; DELAYS;
D O I
10.1016/j.chaos.2023.113665
中图分类号
O1 [数学];
学科分类号
0701 ; 070101 ;
摘要
This paper focuses on the globally asymptotic synchronization (GAS) for delayed drive-response (DR) con-formable fractional-order neural networks (CFONNS). Two differential inequalities (DIS) of conformable fractional-order (FO) are established, which play a central role in studying the GAS of DR CFONNS. By applying the new established two DIS of conformable FO and using L' Hopital's rule and limit algorithms of functions, two criteria on the GAS for the discussing networks are obtained. Since the studies on the synchronization for the CFONNS are very rare, the studies for the CFONNS are of important meaning in theory.
引用
收藏
页数:8
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