Evidence map›Paper›PMID 35909779›Full record

ArticleFrontiers in plant science2022

Distributed Averaging Problems of Agriculture Picking Multi-Robot Systems

Fengying Ma, Hui Yao, Mingjun Du, Peng Ji, Xiaoan Si

Abstract read
In one paragraph

Article in Frontiers in plant science, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Fengying MaSchool of Information and Automation Engineering, Qilu University of Technology (Shandong Academy of Sciences), Jinan, China.
Hui YaoSchool of Information and Automation Engineering, Qilu University of Technology (Shandong Academy of Sciences), Jinan, China.
Mingjun DuSchool of Information and Automation Engineering, Qilu University of Technology (Shandong Academy of Sciences), Jinan, China.
Peng JiSchool of Information and Automation Engineering, Qilu University of Technology (Shandong Academy of Sciences), Jinan, China.
Xiaoan SiSchool of Information and Automation Engineering, Qilu University of Technology (Shandong Academy of Sciences), Jinan, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Distributed control of agriculture picking multi-robot systems has been widely used in the field of smart agriculture, this paper aims to explore the distributed averaging problems of agriculture picking multi-robot systems under directed communication topologies by taking advantage of the sampled data. With the algebraic graph theory concepts and the matrix theory, a distributed protocol is proposed based on the nearest sampled neighbor information. It is shown that under the proposed protocol, the states of all agents can be guaranteed to reach average consensus whose value is the averaging of the initial states of all agents. Besides, when considering time-delay, the other distributed protocol is constructed, in which a time margin of the time-delay can be determined simultaneously. The necessary and sufficient consensus results can be developed even though the time delay exists. Simulation results are given to demonstrate the effectiveness of our developed consensus results.

Indexed as

average consensusdirected communication topologiesdistributed protocolsampled datasmart agriculture

Identifiers

PMID35909779
PMCPMC9331186

What OpenQuestion holds

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LicenceCC BY
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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.