Satellite Formation Flying Controller Design Using an Optimal Decentralized Approach
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The main contribution of this paper is to design an optimal feedback control law that uses only output measurements for a hybrid satellite formation architecture. The formation controller design procedure consists of two steps: (i) designing an initial stabilizing decentralized dynamic output feedback controller and (ii) solving an iterative optimization problem for finding an optimal decentralized controller. Unlike the conventional centralized controller problem, the design of a stabilizing decentralized controller is not trivial in general. Therefore, a decentralized pole placement technique is employed to obtain the controller of step (i). Step (ii) will then improve this design by providing a guaranteed cost decentralized controller. Simulation results will be presented showing that not only the optimal decentralized controller requires less communication bandwidth in comparison with its centralized counterpart but also that it spends less control energy.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.005 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.004 | 0.001 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.001 | 0.003 |
| Scholarly communication | 0.001 | 0.003 |
| Open science | 0.009 | 0.001 |
| Research integrity | 0.000 | 0.001 |
| 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