Adaptive synchronization control of a planar parallel manipulator
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
A new control algorithm for a planar parallel robotic manipulator with three degrees-of-freedom (DOF) and parametric uncertainties has been developed. From its mechanical structure, the studied planar parallel manipulator is categorized as a P-R-R type and can be treated as comprised of three constrained submanipulators. Key to the successful trajectory tracking control of the P-R-R manipulator is the motion of the submanipulators: each sub-manipulator should be controlled to follow its pre-determined trajectory while coordinating motions with the other sub-manipulators. The control algorithm developed employs the above idea and incorporates synchronization technology with the adaptive control architecture by feeding back position, velocity errors of the actuated joints and a newly defined synchronization error. Employment of the synchronization error, verified by simulations, substantially reduces the pose error of the end-effector of the P-R-R manipulator during trajectory tracking. From theoretical analysis, the proposed control algorithm is shown to guarantee the convergence of tracking errors and the synchronization error at the same time. Finally, simulation results demonstrate that the proposed controller can achieve excellent trajectory tracking performance.
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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 | 0.000 |
| 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