NUMERICAL AND EXPERIMENTAL STUDY OF AN ALGORITHM OF ATTITUDE FOR A STRAP-DOWN INERTIAL SYSTEM
Bibliographic record
Abstract
Two numerical algorithms are presented here: the integration of the Poisson equation of attitude and the calculation of the angles from the elements of the matrix of attitude. The method here suggested lies in the use of a fast algorithm of Wilcox type in which the errors of commutation are eliminated by the use of a numerical artifice implemented in a data acquisition card: information on the angular velocity is given on only one channel among the three channels of the chart (the two other channels are put at zero) during a step of calculation. The numerical simulations are performed and validated by use of the Wilcox integration method which implies errors of commutation, with various orders of truncation, and by the integration method with an algorithm with two rates of calculation. By use of a strap-down inertial system and the Matlab software, real time experimental tests are carried out to calculate the best alternatives of the algorithm of integration resulted from the numerical simulations.
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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 | 0.001 | 0.008 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 0.000 |
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.
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".