Resilient Attitude Alignment in Multispacecraft Systems
Why this work is in the frame
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Bibliographic record
Abstract
Resilient attitude alignment of leaderless multispacecraft systems (MSSs) in the presence of cyberattacks is investigated. The main problem of resilient cooperative control schemes existing in the literature is their limitation to integrator linear systems. However, since real spacecraft are prone to uncertainties in model parameters, they may not be feedback linearizable to integrator models. Thus, the main contribution of the current study is to guarantee attitude alignment in MSSs in the presence of cyberattacks when the model parameters of the spacecraft are unknown. We propose a cooperative adaptive control scheme for a network of spacecraft, and based on the concept of robust graphs, we show that if the network connectivity is sufficiently robust with respect to the number of possible malicious spacecraft (spacecraft under cyberattacks), attitude alignment among the normal spacecraft can be guaranteed. The accuracy of the proposed control strategy is validated via a simulation example.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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