On Investigating Dynamic Coupling in Floating Platform and Overhead Crane Interactions: Modeling and Control
Bibliographic record
Abstract
Abstract This study introduces a comprehensive model addressing the dynamic interaction between a crane and platform in the presence of realistic surge-roll-heave movements induced by ocean waves. While the motion of the payload is ascertainable, the surge-roll-heave motions of the floating platform are considered unknown. Consequently, we proposed a control design strategy integrating a backstepping controller and a high-gain observer. The primary objectives of this design are to accurately track the desired (linear) trajectories of the cart position and mitigate its swing (angular) motion. Moreover, the proposed controller is designed to handle challenges such as unknown dynamic friction, dynamic coupling, and external disturbances, all while ensuring dynamic. The extended high-gain observer is crucial in estimating dynamic states and external disturbances. Through simulation, we validate the effectiveness of our model-based control approach, demonstrating its robust performance in the face of unknown nonlinearities and disturbances caused by wave motion.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".