Obstacle-Avoidance Safety-Guaranteed Rendezvous Control with a Velocity Safety Corridor and Prescribed Performance
Bibliographic record
Abstract
A novel safety-guaranteed rendezvous control (SGRC) method is proposed for obstacles avoidance during the rendezvous with a noncooperative target in this paper. An artificial potential field with the addition of a velocity safety corridor is used to describe the motion of space and achieve the constraint on the global velocity of the service spacecraft during the rendezvous. Furthermore, the velocity error term of the system is constrained by combining the prescribed performance control (PPC) method, thereby improving the steady- and transient-state performance of the system while reducing fuel consumption. On this basis, a newly constructed virtual auxiliary state containing both artificial potential fields and self-bounded system state error is developed, and a safety-guaranteed control method capable of achieving rendezvous with the noncooperative target for obstacle avoidance is designed. Two sets of numerical simulation results verify the effectiveness as well as the adaptability of the proposed control method.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".