Guaranteed cost dynamic output feedback control of satellite formation flying: Centralized versus decentralized control
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Bibliographic record
Abstract
The main objective of this paper is to develop a guaranteed cost controller synthesis method for both centralized and decentralized control of satellite formation flying architectures. The main contributions of this paper are twofold. First, guaranteed cost centralized controller design is formulated as a convex optimization problem subject to a set of Linear Matrix Inequalities (LMIs). Second, decentralized guaranteed cost output feedback control is formulated as a nonconvex optimization problem subject to a set of Bilinear Matrix Inequalities (BMIs). The controller design techniques offer two main advantages over previous approaches. First, they rely only on output measurements. Second, they optimize a functional that weights the formation control energy. The simulation results for a leader-follower architecture show that the choice of a decentralized versus a centralized control scheme is an engineering trade off between communication bandwidth and control energy expenditure.
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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) | 0.001 | 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