Flight management systems for all-electric aircraft
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
Recent years have marked a significant step forward in the development of all-electric airplanes, some of which have been built and tested recently. This paper proposes an optimal control framework for flight management systems of all-electric aircraft. The optimal control problems of economy mode and maximum endurance will be solved using Pontryagin's minimum principle. The economy mode optimization problem corresponds to the minimization of a functional parameterized by a coefficient index that performs a trade-off between the cost of the battery charge and time-related costs. The speed for maximum endurance, the maximum endurance and the maximum range were obtained as analytical solutions of the parameters. However, the speed for maximum range and the speed for economy mode are the positive real roots of a polynomial equation of order eight, which can easily be obtained numerically. The Airbus E-Fan 1.0 model is used to obtain numerical results and validate the optimal solutions.
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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 | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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