Almost sure synchronization criteria of neutral-type neural networks with Levy noise and sampled-data loss via event-triggered control

被引：20

作者：

Cui, Kaiyan ^{[1
]}

Lu, Junwei ^{[2
]}

Li, Chenlong ^{[1
]}

He, Zhang ^{[3
]}

Chu, Yu-Ming ^{[4
]}

机构：

[1] Tianjin Univ, Sch Math, Tianjin 300354, Peoples R China

[2] Nanjing Normal Univ, Sch Elect & Automat Engn, Nanjing 210042, Jiangsu, Peoples R China

[3] Nanjing Univ Sci & Technol, Sch Automat, Nanjing 210094, Jiangsu, Peoples R China

[4] Huzhou Teachers Coll, Sch Sci, Huzhou 313000, Zhejiang, Peoples R China

来源：

NEUROCOMPUTING | 2019年 / 325卷

基金：

中国国家自然科学基金;

关键词：

Neutral-type neural networks; Sampled-data loss; Event-triggered scheme; Sampled-data control; TIME-VARYING DELAYS; GLOBAL ASYMPTOTIC STABILITY; ADAPTIVE SYNCHRONIZATION; EXPONENTIAL SYNCHRONIZATION; STOCHASTIC PERTURBATION; INTEGRAL INEQUALITY; CONTROL-SYSTEMS;

D O I：

10.1016/j.neucom.2018.10.013

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 addresses the synchronization problem for neutral-type neural networks with Levy noise and sampled-data loss. An event-triggered control scheme is employed to overcome occasional sampled-data loss and solve the synchronization problem, which is a sampling controller with selection mechanism. Under the scheme, the sampled data is not transmitted to plant unless a predetermined threshold condition is violated. The Lyapunov method and linear matrix inequality technique are employed to analyze almost sure stability of synchronization error system. Finally, the numerical example shows the effectiveness of the derived results. (C) 2018 Elsevier B.V. All rights reserved.

引用

页码：113 / 120

页数：8

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