On-line measurement of relative stability in feedback control systems
Why this work is in the frame
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Bibliographic record
Abstract
An online relative stability measurement technique based on measuring the size of appropriate closed-loop transfers functions at a series of frequencies is proposed. The idea is to excite the system with pure sinusoids until a resonance is measured. The resonance measures give information about relative stability in terms of the tolerable unstructured uncertainty. An algorithm to reduce and in some cases eliminate the transients which occur when the frequency of the input sinusoid is suddenly changed is also proposed. This allows steady-state operation to be quickly achieved, resulting in fast measurement of the relative stability. To reduce the effects of measurement noise, a Kalman filter is incorporated in the measurement of the amplitude and phase of the sinusoidal response. It is shown that if the system is simultaneously excited with many sinusoids, a Kalman filter can be designed to extract the amplitude and phase associated with each frequency component.< <ETX xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">></ETX>
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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