Passivity-Based Adaptive Attitude Control with Explicit Gravity-Gradient Torque Compensation
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Bibliographic record
Abstract
Passivity-based adaptive attitude control in the presence of a gravity-gradient disturbance torque is considered. Traditional passivity-based adaptive attitude control adaptively estimates the spacecraft inertia matrix. To guarantee closed-loop stability via the passivity theorem, the system inputs (the disturbances) must be L2 functions. Unfortunately, the gravity-gradient disturbance torque is not an L2 disturbance. To this end, we propose a modification to the traditional passivitybased adaptive attitude control architecture where the gravity-gradient disturbance torque is incorporated into the control and adaptation laws directly. This is possible because the gravity-gradient torque is a linear function of the spacecraft inertia matrix. We show that our modified passivity-based adaptive attitude control method is guaranteed to stabilize the closed-loop system via the passivity theorem. A numerical example is included.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| 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