Optimization of unsteady aerodynamic forces for aeroservoelastic analysis
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Bibliographic record
Abstract
Optimizationofunsteadyaero dynamicforcesforaeroservo elasticanalysisRuxandraMihaela Botez11Iulian Cotoi1AbstractThe standard Minimum State approximation for the unsteady aero dynamic forces is the metho d givingthe lowest dimension of the state-space realization for the study of the linear stability of a exible aircraft.Cases when one or more aero dynamic elements are di cult to t but to o imp ortantto weigh less can o ccur(see [13]).Weovercome this problem by tting each element with a suitable rational Pade approximation.Furthermore,wedevelopapro cedureforobtaining aminimal state-spaceapproximation withtechniquesfrom systemtheory.Keywords:Unsteadyaero dynamic forces,Minimum Stateapproximation, Minimal Realization.1Intro ductionTheaeroservo elasticinteractionsconcernmainlytheteractionbetweenthreemainfollowingdisci-plines:aero dynamics,aero elasticityandservo-controls.Progressinthismultidisciplinaryareahasde-manded optimization of aero dynamic metho ds in their capability to generate s-domain aero dynamics fromk-domain aero dynamics.Aeroservo elasticity establishes the s-domain as a base, which can b e obtained from the k-domain aero-dynamicsbymeansof severalrational approximation metho ds[6, 11, 14],suchas:TheconventionalLeast SquareLS1Ecole de Technologie Sup erieure, 1100 rue Notre-Dame Ouest, Montreal, Queb ec, H3C 1K3.1
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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 | 0.000 | 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