Distributed Formation Tracking Control with Edge-Triggered Communication Mechanism
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Bibliographic record
Abstract
This paper studies the distributed event-triggered leader-follower formation tracking control problem of general linear multi-agent systems (MASs) with a dynamic leader in a sampled-data setting. A novel asynchronous edge-based event- generator is established for each communication edge to regulate the inter-agent communication at each sampling instant. Then, we propose an edge-state-estimate-based formation tracking algorithm, under which the formation tracking control problem can be formulated as a stability analysis problem of the closed-loop formation error dynamics. The event-generator and formation tracking controller gains can then be co-designed based on the feasible linear matrix inequality (LMI) conditions that guarantee the ultimate boundedness of the closed-loop formation error dynamics. Numerical simulations were carried out using a group of four mobile robots to validate the proposed method.
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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 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| 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