TRAJECTORY OPTIMIZATION OF A SMALL AIRSHIP IN A MOVING FLUID
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
Airships offer a low-cost alternative to heavier-than-air vehicles for long endurance applications in surveillance and transport. Although manoeuvring an under-actuated vehicle in a real environment while taking into account the obstacles, the dynamical model, the wind, and the energy consumption has been studied extensively, planning complex manoeuvres in constrained environments remains an active research area. This paper examines the use of optimal control for the trajectory planning of a small airship. The dynamic model of the vehicle and the experimental characterization of the drag coefficient are presented first, followed by the description of the trajectory planning problem formulated as an optimal control problem. Two trajectories are then solved using a pseudo-spectral solver to demonstrate that an optimal control approach can be used to generate complex and realistic manoeuvres.
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.
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 | 0.000 | 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