General Decay Synchronization of Fuzzy Inertial Memristive Neural Networks with Discontinuous Activation Function

被引：3

作者：

Chen, Huihui ^{[1
]}

Jiang, Minghui ^{[2
]}

Hu, Junhao ^{[3
]}

Yang, Jin ^{[1
]}

机构：

[1] China Three Gorges Univ, Three Gorges Math Res Ctr, Yichang 443000, Hubei, Peoples R China

[2] China Three Gorges Univ, Inst Nonlinear Complex Syst, Yichang 443000, Hubei, Peoples R China

[3] South Cent Univ Nationalities, Coll Math & Stat, Wuhan 430074, Hubei, Peoples R China

来源：

NEURAL PROCESSING LETTERS | 2023年 / 55卷 / 08期

基金：

中国国家自然科学基金;

关键词：

Fuzzy inertial neural networks; General decay synchronization; Memristive; Discontinuous activation; Controllers; FINITE-TIME; DISSIPATIVITY; STABILITY; DELAYS;

D O I：

10.1007/s11063-023-11351-9

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

This paper studied the general decay synchronization (GDS) of fuzzy inertial memristive neural networks (FIMNNs) with mixed delays and discontinuous activation function. Firstly, in light of the Filippov regularization method and a few prerequisites, a new Lemma is generated and it is then applied to the issues in this study. Secondly, the GDS of FIMNNs were investigated by devising two distinct nonlinear controllers, and several new criteria for insuring GDS are derived by using inequality transformation and Lyapunov functional method. Lastly, several simulation examples indicate correctness of the conclusion.

引用

页码：10789 / 10810

页数：22

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