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Record W2080253856 · doi:10.2514/1.51899

Linear Time-Varying Passivity-Based Attitude Control Employing Magnetic and Mechanical Actuation

2011· article· en· W2080253856 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

VenueJournal of Guidance Control and Dynamics · 2011
Typearticle
Languageen
FieldEngineering
TopicInertial Sensor and Navigation
Canadian institutionsUniversity of Toronto
Fundersnot available
KeywordsControl theory (sociology)PassivitySpacecraftLinear-quadratic regulatorAttitude controlOrbit (dynamics)Robust controlComputer scienceStability (learning theory)Linear regulatorControl engineeringControl (management)Control systemRegulatorEngineeringAerospace engineering

Abstract

fetched live from OpenAlex

Spacecraft attitude control using both magnetic and mechanical actuation is considered. A passivity-based control scheme is adopted in order to guarantee robust closed-loop stability. Motivated by the periodic nature of the Earths magnetic field a linear time-varying input strictly passive system is used for control. Conditions which ensure a linear timevarying system is input strictly passive are given, and are used in conjunction with the linear quadratic regulator formulation to design and synthesize the rate control. Simulation results are included, which highlight the robust nature of the closed-loop subject to both orbit, and spacecraft model uncertainty.

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: Empirical
Teacher disagreement score0.856
Threshold uncertainty score0.446

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
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 head0.008
GPT teacher head0.202
Teacher spread0.194 · 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