Asymptotic Synchronization of Memristive Cohen-Grossberg Neural Networks with Time-Varying Delays via Event-Triggered Control Scheme.

Wei Yao, Fei Yu, Jin Zhang, Ling Zhou

Abstract read

In one paragraph

Article in Micromachines, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it

0cells of the map it votes in

1citing papers in PubMed

–field-weighted citation impact

1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

On the Global Practical Exponential Stability ofEntropy (Basel, Switzerland) · 2025
Article

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

4 authors.

Wei YaoSchool of Computer and Communication Engineering, Changsha University of Science & Technology, Changsha 410114, China.ORCID 0000-0002-1541-3954

Fei YuSchool of Computer and Communication Engineering, Changsha University of Science & Technology, Changsha 410114, China.ORCID 0000-0002-3091-7640

Jin ZhangSchool of Computer and Communication Engineering, Changsha University of Science & Technology, Changsha 410114, China.

Ling ZhouSchool of Intelligent Manufacturing, Hunan University of Science and Engineering, Yongzhou 425199, China.

Funding

National Defense Basic Research Program, China WDZC20205500119Natural Science Foundation of Hunan Province 2021JJ30456 and 2019JJ5020Scientific research project of Hunan Provincial Department of Education, China 21B0345 and 21C0200

6 · The paper itself

Abstract

This paper investigates the asymptotic synchronization of memristive Cohen-Grossberg neural networks (MCGNNs) with time-varying delays under event-triggered control (ETC). First, based on the designed feedback controller, some ETC conditions are provided. It is demonstrated that ETC can significantly reduce the update times of the controller and decrease the computing cost. Next, some sufficient conditions are derived to ensure the asymptotic synchronization of MCGNNs with time-varying delays under the ETC method. Finally, a numerical example is provided to verify the correctness and effectiveness of the obtained results.

Indexed as

asymptotic synchronizationevent-triggered controlmemristive Cohen-Grossberg neural networktime-varying delays

Identifiers

PMID35630193

DOI10.3390/mi13050726

PMCPMC9147740

What OpenQuestion holds

Textmetadata

LicenceCC BY

Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.