Bibliographic record
Abstract
Actuators made from so-called smart materials have been proposed in the literature, for use in shape control of various surfaces. At the lowest level, this shape control problem can be thought of as a distributed regulation problem. Because of the hysteresis nonlinearity present in these actuators, there are an infinite number of input values corresponding to a particular output regulation setpoint. One might then ask the question, not relevant to memory-less systems, whether there is some advantage to regulating about one of these states in particular. This work proposes, based on observations from the Preisach model, that for any desired output there is one state in particular at which the system has a better natural (open-loop) rejection of uniformly-distributed noise at its input. This proposition is tested in both simulation and experiment. The reachability of this so-called `neutral state' is discussed, as is the generation of an input to drive the system to the appropriate neutral state. It is demonstrated that closed-loop regulation schemes will also benefit from starting in the appropriate neutral state, requiring less control effort for regulation.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".