Un manuel pédagogique de travaux pratiques en commande moderne.
Bibliographic record
Abstract
La commande moderne a pris un essor considérable dans les années 70, notamment du fait qu’elle s’adaptait à des calculs matriciels traités par ordinateur. Toutefois, le domaine a été élaboré par les spécialistes de l’algèbre linéaire. De ce fait, la connexion des résultats obtenus avec la commande classique, plus intuitive, n’a pas toujours été mise en évidence. Le manuel de travaux pratiques (TP) récemment rédigé aborde le sujet avec un grand nombre d’exemples traités de façon analytique (solutions continues et discrètes) et par des logiciels de simulation Matlab/Simulink/GeoGebra. Des méthodes de simulation novatrices y sont exposées qui permettent de concevoir efficacement les paramètres de la compensation stabilisatrice. Ce manuel suit le plan de l’ouvrage : Commande moderne - une approche analogique et numérique [1]. [1] Commande moderne : une approche analogique et numérique (David Bensoussan, Éditions internationales de polytechnique). 2008, Latest Edition. Abstract-- Modern control gained considerable momentum in the 1970s, especially as it adapted to computer-processed matrix calculations. However, the field was developed by specialists in linear algebra. As a result, the connection of the results with the more intuitive classical control was not always highlighted. The recently written Manual of solved problems in Control addresses the subject with a large number of examples treated analytically (continuous and discrete solutions) and with Matlab/Simulink/GeoGebra simulation software. Innovative simulation methods are presented that allow efficient design of stabilizing compensation parameters. This manual follows the outline of the book: Modern control - an analog and digital approach [1]. [1] Modern Control: An Analog and Digital Approach (David Bensoussan, Éditions internationales de polytechnique). 2008, Latest Edition.
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 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 | 0.005 | 0.008 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.003 | 0.011 |
| Scholarly communication | 0.008 | 0.012 |
| Open science | 0.002 | 0.005 |
| Research integrity | 0.005 | 0.010 |
| Insufficient payload (model declined to judge) | 0.029 | 0.010 |
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".