Etude du comportement global d'un SED en vue de la validation de sa commande spécifiée par Grafcet
Bibliographic record
Abstract
Suite à nos travaux sur la synthèse de la commande basée sur la théorie de Ramadge et Wonham, nous proposons une approche de validation de la commande hors ligne. Cette approche nécessite la modélisation de la partie opérative et des contraintes de sécurité et de vivacité, appliquées au système. Nous proposons de modéliser la partie opérative par une méthode à base de règles d'occurrence et de précédence et d'utiliser des équations logiques pour les contraintes pour pallier les problèmes de méthodologie de conception de modèles et d'explosion combinatoire. La démarche de validation de la commande permet de détecter les éventuels blocages ou les contraintes non respectées et d'aider le concepteur à apporter les modifications nécessaires. Pour illustrer ces concepts, nous proposons de les éprouver sur un exemple de tri de caisses.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot 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.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.004 | 0.012 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.001 |
| Science and technology studies | 0.001 | 0.002 |
| Scholarly communication | 0.003 | 0.003 |
| Open science | 0.001 | 0.002 |
| Research integrity | 0.001 | 0.002 |
| Insufficient payload (model declined to judge) | 0.005 | 0.001 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
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".