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
Presented is the design and analysis of robust full authority e ight controllers to improve the handling qualities of a e y-by-wire Bell 205 helicopter. The emphasis is to meet stringent U.S. Army handling qualities specie cations against the constraint of robust stability. The designer goal is to reproduce specie cations constituting an ideal target model in the actual Bell 205, which does not naturally exhibit good handling qualities. A solution to robust e ight controllers is a mixed-norm control design methodology that incorporates both optimal nominal modelfollowingperformanceandrobuststabilityobjectives.Mixed-norm optimizationaddressesanoutstandingproblem inhelicoptere ightcontrol, which hasbeen theunrealisticmapping ofmultipledesign objectivesinto a single norm. Errordynamicsbetweentheresponseofthemodelandtheactualhelicopterareexplicitlydee nedfromexperimental data to reducetheperformancevsrobustnesstradeoff. Themixed-norm control problem addresses genuinesystem requirements without compromise. Analysis and simulation results show an effective robust controller designed for the Bell 205.
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