Evidence map›Paper›PMID 39108846›Full record

ArticleHeliyon2024

Optimizing control efficiency in discrete-time multi-agent systems via event-triggered containment techniques combining disturbance handling and input delay management.

Hanen Louati, Azmat Ullah Khan Niazi, Mhassen E E Dalam, Waqar Ul Hassan, Khawer Hameed Khan, Mohammed Alhagyan

Abstract read
In one paragraph

Article in Heliyon, 2024. 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.

  1. 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

6 authors.

Hanen LouatiMathematics Department, Faculty of Science, Northern Border University, Arar, KSA, Saudi Arabia.
Azmat Ullah Khan NiaziDepartment of Mathematics and Statistics, The University of Lahore, Sargodha 40100, Pakistan.
Mhassen E E DalamDepartment of Mathematics, College of Sciences and Arts (Muhyil), King Khalid University, Muhyil 61421, Saudi Arabia.
Waqar Ul HassanDepartment of Mathematics and Statistics, The University of Lahore, Sargodha 40100, Pakistan.
Khawer Hameed KhanDepartment of Mathematics and Statistics, The University of Lahore, Sargodha 40100, Pakistan.
Mohammed AlhagyanMathematics department, College of Humanities and Science in Al Aflaj, Prince Sattam Bin Abdulaziz University, 11912, Saudi Arabia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The goal of this paper is to mitigate disturbances and input delays while optimizing controller actuation updates for discrete-time multi-agent systems through the use of an event-triggered confinement control system, especially in resource-constrained scenarios. This approach when combined with event-triggered control techniques, then every follower in the system adjusts its condition at specified times based on an event-triggered condition that is suggested. The containment control system issue in the presence of disturbances and input delays was tackled by using both decentralized and centralized event-triggered control systems. Using matrix theory and the Lyapunov technique, convergence analysis is conducted to show that the proposed strategy stays free of zeno phenomena. Numerical boosts are used to further illustrate the impact of theoretical results.

Indexed as

Containment controlDisturbance handlingEvent-triggered controlInput delay managementMulti-agent systems

Identifiers

PMID39108846
PMCPMC11301208

What OpenQuestion holds

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Registered trials

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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.