Event-triggered control for robust exponential synchronization of inertial memristive neural networks under parameter disturbance

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成果类型：

期刊论文

作者：

Yao, Wei;Wang, Chunhua;Sun, Yichuang;Gong, Shuqing;Lin, Hairong

通讯作者：

Yao, W

作者机构：

[Yao, Wei] Changsha Univ Sci & Technol, Sch Comp & Commun Engn, Changsha 410114, Peoples R China.

[Yao, Wei] Changsha Univ Sci & Technol, Engn Lab Spatial Informat Technol Highway Geol Dis, Changsha 410114, Peoples R China.

[Wang, Chunhua; Lin, Hairong] Hunan Univ, Coll Informat Sci & Engn, Changsha 410082, Peoples R China.

[Sun, Yichuang] Univ Hertfordshire, Sch Engn & Technol, Hatfield AL10 9AB, England.

[Gong, Shuqing] Changsha Univ Sci & Technol, Sch Math & Stat, Changsha 410114, Peoples R China.

通讯机构：

[Yao, W ] C

Changsha Univ Sci & Technol, Sch Comp & Commun Engn, Changsha 410114, Peoples R China.

语种：

英文

关键词：

Event-triggered control;Inertial memristive neural networks;Parameter disturbance;Robust exponential synchronization

期刊：

Neural Networks

ISSN：

0893-6080

年：

2023

卷：

164

页码：

67-80

DOI：

10.1016/j.neunet.2023.04.024

基金类别：

Major Research Plan of the National Natural Science Foundation of China [91964108]; National Natural Science Foundation of China [6197118, 62201204]; Hunan Provincial Natural Science Foundation of China [2022JJ40514, 2021JJ40555]; Scientific Research Foundation of Hunan Provincial Education Department, China [22B0326, 21C0200]; Open Fund of Engineering Laboratory of Spatial Information Technology of Highway Geological Disaster Early Warning in Hunan Province, Changsha University of Science and Technology, China [kfj220603]

机构署名：

本校为第一且通讯机构

院系归属：

交通运输工程学院

计算机与通信工程学院

数学与统计学院

摘要：

Synchronization of memristive neural networks (MNNs) by using network control scheme has been widely and deeply studied. However, these researches are usually restricted to traditional continuous-time control methods for synchronization of the first-order MNNs. In this paper, we study the robust exponential synchronization of inertial memristive neural networks (IMNNs) with time-varying delays and parameter disturbance via event-triggered control (ETC) scheme. First, the delayed IMNNs with parameter disturbance are changed into first-order MNNs with parameter disturbance by constructing proper...

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Event-triggered control for robust exponential synchronization of inertial memristive neural networks under parameter disturbance

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