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Record W2077489572 · doi:10.1109/cdc.2014.7039636

A class of rendezvous controllers for underactuated thrust-propelled rigid bodies

2014· article· en· W2077489572 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 institutionsUniversity of Toronto
Fundersnot available
KeywordsRendezvousUnderactuationControl theory (sociology)ThrustRobustness (evolution)IntegratorComputer scienceInner loopRigid bodyLoop (graph theory)Controller (irrigation)EngineeringMathematicsPhysicsAerospace engineeringControl (management)Artificial intelligenceClassical mechanics

Abstract

fetched live from OpenAlex

A framework is presented for rendezvous in a network of n underactuated thrust-propelled rigid bodies. A nested loop control structure is proposed whereby an outer loop consensus controller for a double integrator system provides reference signals to an inner loop thrust direction stabilizer. Both outer loop and inner loop controllers can be chosen from a wealth of solutions available in the literature, and it is shown that their combination solves the rendezvous problem almost globally for the rigid body network. We illustrate the theory by combining sample feedbacks, and we show robustness to noise by means of numerical simulations.

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)0.001
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 score0.987
Threshold uncertainty score0.702

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
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 head0.019
GPT teacher head0.243
Teacher spread0.224 · 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

Citations14
Published2014
Admission routes1
Has abstractyes

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