Lag projective synchronization of nonidentical fractional delayed memristive neural networks

被引：28
|
作者：
Ding, Zhixia [1 ,2 ,4 ]
Chen, Chong [1 ,2 ]
Wen, Shiping [3 ]
Li, Sai [1 ,2 ]
Wang, Liheng [1 ]
机构：
[1] Wuhan Inst Technol, Sch Elect & Informat Engn, Wuhan 430205, Peoples R China
[2] Hubei Key Lab Opt Informat & Pattern Recognit, Wuhan 430205, Peoples R China
[3] Univ Technol Sydney, Fac Engn & Informat Technol, Australian AI Inst, Sydney, NSW, Australia
[4] Wuhan Univ Sci & Technol, Hubei Prov Key Lab Syst Sci Met Proc, Wuhan 430081, Peoples R China
来源：
NEUROCOMPUTING | 2022年 / 469卷
关键词：
Lag projective synchronization; Fractional delayed memristive neural; networks; Sliding-mode controller; FINITE-TIME SYNCHRONIZATION; ORDER CHAOTIC SYSTEMS; STABILITY ANALYSIS; DESIGN;
D O I：
10.1016/j.neucom.2021.10.061
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, lag projective synchronization of nonidentical fractional delayed memristive neural networks (NFDMNN) is investigated. Due to the existence of memristor, the analysis is based on the theory of differential equations with discontinuous right-hand side proposed by Filippov. A novel controller with fractional integral sliding-mode surface is devised firstly. Successively, some sufficient criteria ensuring lag projective synchronization of NFDMNN are obtained, depending on the fractional calculus inequalities and Lyapunov direct method. Moreover, the related results improve and enrich previous synchronization works. Lastly, the validity of conclusions is verified through a simulation example. (c) 2021 Elsevier B.V. All rights reserved.
引用
收藏
页码：138 / 150
页数：13
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