Exponential synchronization of memristive neural networks with discrete and distributed time-varying delays via event-triggered control
type: Item
instance of: scholarly article
title: Exponential synchronization of memristive neural networks with discrete and distributed time-varying delays via event-triggered control
zbMATH Open document ID: 1465.34068
DOI: 10.1155/2021/5575849
author: Biwen Li
author: Wenbo Zhou
published in: Discrete Dynamics in Nature and Society
publication date: 2021-07-02T00:00:00Z
review text: Summary: In this paper, we investigate the exponential synchronization problem of memristive neural networks (MNNs) with discrete and distributed time-varying delays under event-triggered control. An event-triggered controller with the static and dynamic event-triggering conditions is designed to improve the efficiency of resource utilization. By constructing a new Lyapunov function, some sufficient criteria are obtained to realize the exponential synchronization of considered drive-response MNNs under the designed event-triggered controller. In addition, the Zeno behavior will not occur by proving that the event-triggering interval has a positive lower bound under different event-triggering conditions. Finally, a numerical example is provided to prove the validity of our theoretical results.
Mathematics Subject Classification ID: 34D06
Mathematics Subject Classification ID: 34K05
Mathematics Subject Classification ID: 93C43
Mathematics Subject Classification ID: 93D23
zbMATH DE Number: 7367221
Wikidata QID: Q115521555
MaRDI profile type: Publication
full work available at URL: https://doi.org/10.1155/2021/5575849
OpenAlex ID: W3140420329
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description: scientific article; zbMATH DE number 7367221