Robust Adaptive Control of a Class of Nonlinear System with an Asymmetric Shifted Prandtl-Ishlinskii Hysteresis Model
Bibliographic record
Abstract
Most of smart material-based actuators, such as magnetostrictive actuators and shape memory alloy (SMA) actuators, exhibit asymmetric hysteresis effect. This non-smooth nonlinearity can result in system inaccuracy and instability. In order to overcome this undesirable effect, a class of nonlinear systems with asymmetric hysteresis actuators described by an Asymmetric Shifted Prandtl-Ishlinskii (ASPI) model are treated as systems to be controlled, and the paper attempts to develop a robust adaptive control scheme to stabilize such systems and achieve precise tracking. With the proposed control scheme, the global stability of the closed-loop systems is analyzed and simulation results confirm the the proposed robust approach.
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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) | 0.001 | 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".