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Record W3100103400 · doi:10.1109/taes.2020.3037399

Impact Angle Control Guidance of Glide-Capable Munition Using a Vector Field Approach

2020· article· en· W3100103400 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 Aerospace and Electronic Systems · 2020
Typearticle
Languageen
FieldEngineering
TopicGuidance and Control Systems
Canadian institutionsNexen (Canada)
Fundersnot available
KeywordsGliderPosition (finance)EngineeringControl theory (sociology)Vector controlTrajectoryAmmunitionAerospace engineeringAngle of attackField (mathematics)Velocity vectorComputer scienceControl (management)AerodynamicsMarine engineeringPhysicsMathematicsArtificial intelligence

Abstract

fetched live from OpenAlex

A vector field-based guidance law is proposed for the speed and impact angle control of an unpowered, glide-capable air-to-ground munition. An artificial 3-D space is designed for the glider vehicle to satisfy the terminal constraints. The glider vehicle is guided to the target position by the proposed vector field-based guidance law while satisfying the desired impact angle and final speed constraints. In the numerical simulations, various wind conditions are considered to demonstrate the performance of the proposed guidance law.

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: Simulation or modeling
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.635
Threshold uncertainty score0.895

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 head0.013
GPT teacher head0.216
Teacher spread0.202 · 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