MétaCan
Menu
Back to cohort
Record W4367663078 · doi:10.1109/tcns.2023.3272291

Dual-Stage Heterogeneous Multiagent Systems Surrounding Control for a Motional Target

2023· article· en· W4367663078 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueIEEE Transactions on Control of Network Systems · 2023
Typearticle
Languageen
FieldComputer Science
TopicDistributed Control Multi-Agent Systems
Canadian institutionsUniversity of Victoria
FundersNational Natural Science Foundation of China
KeywordsDual (grammatical number)Computer scienceStage (stratigraphy)Multi-agent systemControl systemControl (management)Control theory (sociology)EngineeringArtificial intelligenceElectrical engineering

Abstract

fetched live from OpenAlex

This article addresses the dynamic target surrounding control problem for a class of heterogeneous multiagent systems (MASs). To surround a motional target with a time-varying velocity, a distributed observer is established by employing perturbation system analysis, which can simultaneously retrieve both target state and dynamics. Then, a distributed dual-stage cooperative control scheme based on the output regulation principle is proposed to fulfill the even surrounding control mission, i.e., all the heterogeneous agents moving along a common circle around the dynamic target with an identical desired radius and evenly distributed phases. Afterward, an optimal selection protocol of the switching instant between the collective chasing and surrounding stages is provided as well. Significantly, sufficient conditions are derived to guarantee the asymptotical stability of such closed-loop heterogeneous MASs. Finally, numerical simulations are conducted to verify the effectiveness of the proposed surrounding control scheme.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.002
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.993
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0020.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0010.001
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0010.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.029
GPT teacher head0.255
Teacher spread0.226 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it