Adaptive Regulation in Switched Bimodal Systems: An Experimental Evaluation
Bibliographic record
Abstract
This paper presents experimental results on the adaptive exact output regulation in a switched bimodal mechanical system subject to unknown sinusoidal exogenous inputs representing reference or disturbance signals. The adaptive regulator design exploits the$Q$parameterization of regulators for the switched system, and where the$Q$parameter is tuned online to yield the desired regulator. The proposed adaptive regulator is evaluated on an experimental setup motivated by the flying height regulation problem in hard disk drives. In the experimental setup, the tip of a flexible beam is supposed to maintain a constant separation with respect to a surface with an unknown profile, while also being subject to an unknown disturbance force. The system exhibits a switching behaviour depending on whether contact takes place between the surface to be tracked and the tip of the beam. The experimental results successfully demonstrate the effectiveness of the proposed approach in achieving exact output regulation against unknown sinusoidal exogenous inputs and in the presence of switching in the system dynamics.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.002 |
| 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 | 0.001 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".