MétaCan
Menu
Back to cohort
Record W4239680845 · doi:10.22215/etd/2021-14600

Cascaded Lyapunov Vector Fields for Spacecraft Relative Trajectory Tracking in Rotating Reference Frames Under Acceleration Constraints

2021· dissertation· en· W4239680845 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.
fundA Canadian funder is recorded on the work.

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldEngineering
TopicSpacecraft Dynamics and Control
Canadian institutionsCarleton University
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsSpacecraftLyapunov functionControl theory (sociology)Computer scienceReference frameVector fieldRendering (computer graphics)Bounding overwatchTrajectoryMathematicsEngineeringFrame (networking)Aerospace engineeringArtificial intelligencePhysics

Abstract

fetched live from OpenAlex

Autonomous docking to an uncontrolled tumbling target is a complex maneuver, requiring satisfaction of several path constraints while respecting the acceleration limitations of the controlled vehicle. Furthermore, as is always the case in spacecraft applications, some level of fuel optimization is required. Presently, methods for achieving autonomous docking usually rely on high-dimensional or computationally complex optimizations which, to avoid the use of open-loop control, are required to run in real-time. Unfortunately, it is well-known that spacecraft flight-computers are highly limited in their computational power, rendering many of these methods impractical.

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 categoriesMeta-epidemiology (narrow)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Simulation or modeling · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.772
Threshold uncertainty score1.000

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 science0.0000.000
Research integrity0.0010.001
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 head0.021
GPT teacher head0.275
Teacher spread0.253 · 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

Citations1
Published2021
Admission routes2
Has abstractyes

Explore more

Same topicSpacecraft Dynamics and ControlFrench-language works237,207