A self detection and compensation of actuator backlash in the framework of constrained MPC design
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Bibliographic record
Abstract
In this paper, we present a so-called self detection and estimation scheme for the on-line implementation of our mixed integer quadratic programming (MIQP)based design of MPC, which addresses simultaneously the actuator saturation and backlash nonlinearity. The estimation scheme is required to determine a set of design parameters required by the MIQP-based MPC for compensating for the backlash effect. The scheme automatically locates the backlash in actuators, and then estimates the size of its dead-band, from the on-line measurements of plant inputs. We illustrate the application of the proposed method to the control of composition and liquid levels in a paper machine head-box system, where the MIQP-based MPC design equipped with the on-line detection and estimation scheme is able to compensate for the backlash effects, and then to regain its nominal performance in the presence of actuator backlash.
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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 | 0.000 |
| 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