SUPERVISED SWITCHING CONTROL OF A DEPLOYABLE MANIPULATOR SYSTEM
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
This paper presents a supervisory system for controller switching as applied to ground-based and space-based deployable manipulator systems. First, a finite family of candidate controllers is established so that the manipulator system performs satisfactorily under the control of one of the controllers, in the possible presence of model uncertainties, unknown parameters, time variance, nonlinearities, and variable operating conditions. A supervisory unit in the system monitors the performance of the manipulator. Based on this, a decision-making logic unit selects an appropriate controller from the family, and activates it while deactivating the currently active controller, so as to ensure proper performance. Capabilities of instantaneous switching and gradual switching using a switching function and a switching compensator are incorporated into the system. The performance of the supervised switching control system is evaluated through computer simulation of an innovative manipulator system consisting of a combination of revolute and prismatic degrees of freedom and joint and link flexibilities.
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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) | 0.001 | 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