Adaptive Nonlinear Robust Control of a Novel Unconventional Unmanned Aerial Vehicle
Why this work is in the frame
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Bibliographic record
Abstract
An adaptive nonlinear robust controller for a novel highly maneuverabledual-ducted UAV is considered in this paper. The dynamics of the system is highly nonlinea r and not originally in the control -affine form. At first the equations governing the dynamics of the system are extracted. Then a change of variables is proposed to transform the dynamic equations into the control -affine form. It is assumed that the syste m is subject to unknown disturbances. Therefore, a control law enabling the UAV to accomplish tracking missions, alongside an adaptive law estimating unknown disturbances are derived. Unlike previous nonlinearrobustmethods applied to this UAV, the asymptotic stability of the controller in the presence of unknown disturbance is analytically demonstrated. This controller enables the UAV to follow any desired translational and rotational trajectory and also accounts for a range of unknown disturbances. Final ly, a computerized simulation is conducted to verify the analytical results.
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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) | 0.001 | 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