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Record W2073910411 · doi:10.1109/acc.2013.6580136

Distributed control of multi-agent systems with rotating field of view

2013· article· en· W2073910411 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

Venuenot available
Typearticle
Languageen
FieldComputer Science
TopicDistributed Control Multi-Agent Systems
Canadian institutionsConcordia University
Fundersnot available
KeywordsAngular velocityConic sectionDouble integratorControl theory (sociology)Rotation (mathematics)Computer scienceMulti-agent systemIntegratorCircular motionControl (management)PhysicsMathematicsClassical mechanicsArtificial intelligenceGeometryBandwidth (computing)

Abstract

fetched live from OpenAlex

This paper is concerned with the consensus problem of a multi-agent system consisting of single-integrator agents with limited heterogenous angular fields of view (FOV) in the form of conic areas. It is assumed that the FOVs of all agents rotate with sufficiently large angular velocities (and in same direction), which is controlled along with the translational motion of all agents. Rotation of the FOVs is aimed at increasing the sensing capability of the agents. The translational velocity vectors and the lower bound for the angular velocity of the FOVs are designed in such a way that the agents asymptotically converge to a sufficiently small ball, and reach consensus. Simulations verify the effectiveness of the proposed control strategies.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.978
Threshold uncertainty score0.655

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
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 head0.014
GPT teacher head0.237
Teacher spread0.222 · 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

Quick stats

Citations3
Published2013
Admission routes1
Has abstractyes

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