MétaCan
Menu
← Back to cohort
Record W6990055451

Commande par placement de structure propre appliquée à la dynamique latérale de l'avion

2003· other· fr· W6990055451 on OpenAlexvenueno aff

Bibliographic record

VenueLibrary and Archives Canada (Government of Canada) · 2003
Typeother
Languagefr
Field
Topic
Canadian institutionsnot available
Fundersnot available
KeywordsCompensation (psychology)Control theory (sociology)
DOInot available

Abstract

fetched live from OpenAlex

La commande par placement de structure propre "Eigenstructure Assignment" est l'une des méthodes de commande multivariables modernes utilisées dans les commandes électriques de l'avion. Cette technique de commande linéaire offre un bon découplage des sorties en s'assurant au départ d'un bon choix simultané de vecteurs propres et valeurs propres désirés. Nous avons fait ressortir les avantages et les inconvénients de cette commande dans le cadre d'un contrôle par retour de sortie, d'un contrôle par retour de sortie avec contraintes et enfin par compensation dynamique dans le cas où une sortie ne serait pas mesurable. \n \nLa méthode de placement de structure propre a été appliquée sur le modèle ADMIRE (Aerodata Model in Research Environment) qui est un modèle d'avion de chasse développé conjointement par Saab et l'Institut Royal de Technologie de Suède.

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.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.001
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Other · Consensus signal: none
Teacher disagreement score0.018
Threshold uncertainty score0.059

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.001
Meta-epidemiology (narrow)0.0010.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0010.001
Scholarly communication0.0010.001
Open science0.0010.001
Research integrity0.0010.001
Insufficient payload (model declined to judge)0.0180.004

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 head0.002
GPT teacher head0.141
Teacher spread0.139 · 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

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designNot applicable
Domainnot available
GenreOther

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations0
Published2003
Admission routes1
Has abstractyes

Explore more

Same venueLibrary and Archives Canada (Government of Canada)→French-language works237,207→