AUTO-TUNING OF ADAPTIVE CONTROL WITH DEAD ZONE
Why this work is in the frame
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Bibliographic record
Abstract
It is useful for system engineers to initialize tuning parameters of adaptive control automatically. Adaptation gain and width of dead zone are tuning parameters of an estimation law using a dead zone. A control law has additional tuning parameters. This paper presents a new variable dead zone and a new automatic initialization method for adaptive control using a variable dead zone with a few tuning parameters that are determined by previously measured input and output data. The dead zone width in the estimation law is changed depending on the input signal by a rational function initialized using previously measured input and output signals. The control law used here is an H∞ control one referring to a complementary sensitivity function against unstructured uncertainty. We apply the proposed method to an electro-hydraulic servo system and verify the effects by experimentation.
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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