Formation control of VTOL UAVs without linear-velocity measurements
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
We address the formation control problem without linear-velocity measurements for a group of Vertical Take-Off and Landing (VTOL) Unmanned Aerial Vehicles (UAV) with a fixed and undirected communication topology. The vehicles among the team are required to track a desired reference linear-velocity and maintain a desired formation. Our control design is achieved in two main steps. First, an intermediary control input is designed for the translational dynamics, from which we extract the desired system attitude and thrust achieving the formation objective. Then, the torque input for the rotational dynamics of each vehicle is designed to drive the actual attitudes to the desired ones. To obviate the need for linear-velocity, we use instrumental auxiliary variables in each step of the control design. The stability of the overall closed loop system is rigorously established. Simulation results are provided to show the effectiveness of the proposed control scheme.
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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) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 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