A slope seeking-based approach for optimal and sub-optimal SISO process control: Application to microalgae culture
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Bibliographic record
Abstract
This paper investigates the use of an adaptive slope seeking strategy for Single Input Single Output (SISO) process control. The static map between input and output is assumed to be of quadratic form, part of a Hammerstein model representation, and model parameters are estimated by a RLS/RELS algorithm. The contribution of this paper is threefold. First, an algorithm providing an explicit expression for slope reference generation is presented. Then, a self-governed pole placement controller design strategy with integral action is proposed, avoiding the complex design of the control loop integrator gain. Eventually, the proposed slope seeking strategy effectiveness is assessed in simulation on a realistic continuous micro-algae culture model in order to achieve both optimal and sub-optimal operations under the presence of measurement noise.
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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) | 0.001 | 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 it