Modeling and robust control of miniaturized magnetically-actuated optical image stabilizers
Why this work is in the frame
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Bibliographic record
Abstract
This paper proposes an uncertainty modeling and robust controller design method for miniaturized 3 degrees-of-freedom OISs to deal with its product variabilities. A mathematical model of OISs with product variabilities is developed based on finite element analysis of uncertainties specific for this device. μ-synthesis technique is applied to the uncertainty model to design a robust controller, in order to guarantee robust stability of the closed-loop system and optimize tracking performance against product variabilities. The performance of the μ-synthesis controller is compared with conventional nominal controllers using simulations. The μ-synthesis controller successfully stabilizes the closed-loop system for the entire uncertainty region and suppresses hand-shake disturbances more than 30% better then baseline controllers. This improvement can lead to significant enhancement of image blur in mobile phone cameras equipped with this OIS.
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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 | 0.001 |
| 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