A Distributed Fault Detection and Estimation for Formation of Clusters of Small Satellites
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Bibliographic record
Abstract
This paper explores the problem of distributed fault detection and estimation for clusters of satellites. An observer implemented on each satellite can detect faults and estimate their size and behavior over time. Satellite observers can monitor and estimate linear/nonlinear faults in the satellite attitude control system. Furthermore, a formation design is obtained in the presence of faults and disturbances from external sources. States and faults are combined to build a state-fault augmented vector. The observer utilized in this paper is an Unknown Input Observer (UIO) to decouple disturbances from fault and state estimations. We determine gain matrices using an H∞ approach to solve Linear Matrix Inequalities (LMIs). A numerical example is represented by three clusters of small satellites.
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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