Employing Soft Computing Techniques to Study Stability and Control in Aircraft Design
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.
Bibliographic record
Abstract
F-14 Simulation Results The scenario used in the previous work of Fialho et al. was chosen to test the proposedcontrollerdesign.Figure 2 shows the two simulatedmaneuvers. Two pairs of 1-s, 1-in. (2.54-cm) stick inputs to the left and then to the right are applied at 1 and 5 s followed by two pairs of pedal inputs at 11 and 15 s. The comparison of the roll rate response to the stick input with the “ideal” closed-loop response in Fig. 2 shows tracking performance slightly superior to the already very good result shown in Ref. 1. The very small peak sideslip error of 0.06 deg is far better than the 0.8-deg error obtained in Ref. 1. The response to pedal inputs achieved almost perfect tracking of the sideslip angle and a limited residual roll rate responseof only 0.35 deg/s. This is much better than the 1 deg/s roll rate error presented in Ref. 1.
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Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.000 |
| 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 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 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 it