Integrated multiple objective controller design for one-way coupled systems
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Bibliographic record
Abstract
Many control system designs are challenging for two reasons in particular. Firstly, there are multiple performance requirements to be satisfied; secondly, the systems are made up of subsystems that may interact. Conventional engineering process follows a bottom-up approach, where the subsystem controllers are designed independently, and then assembled. Unaccounted for interactions are then handled by ad-hoc troubleshooting methods, which may compromise the original design specifications. In this paper, we present a new method for multiple-objective controller design of systems with undesirable one-way coupling. By choosing a block triangular controller structure to match that of the plant, the subsystems can be designed separately. Having designed these, an additional controller is designed to limit the effects of coupling between the subsystems.
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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