Prescribed adaptive control of unknown hysteresis in smart material actuated systems
Why this work is in the frame
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Bibliographic record
Abstract
Design of controllers that ensure the closed-loop stability of the system actuated by the smart material which shows hysteresis nonlinearity is a challenging issue in the literature. In this paper, we use the Bouc–Wen model to describe the hysteresis nonlinearity and attempt to fuse the Bouc–Wen model with the available adaptive control techniques without constructing the inverse of the Bouc–Wen model. To realize such a fusion, it is necessary to utilize its solution properties. However, the general solution of the Bouc–Wen model is still not available. Therefore, an approximate solution is applied. By means of the approximate solution, a prescribed adaptive control approach is developed to achieve global stability of the closed-loop system and guarantee the transient and steady-state performance of the tracking error. Simulation results demonstrate the effectiveness of the proposed approach.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.001 | 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