Stochastic output feedback controller for singular Markovian jump systems with discontinuities
Why this work is in the frame
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Bibliographic record
Abstract
The class of continuous-time linear Markovian jump singular systems with discontinuities has been dealt with. Based on the stochastic stability in mean square sense of the system under study, a sufficient condition is proposed for the design of an output feedback controller which guarantees that the closed-loop system is piecewise regular, impulse-free and stochastically stable in mean square sense. First, the proposed approach is established in terms of bilinear and linear matrix inequalities. Then, the sequential linear programming matrix method is used to convert the nonlinear and non-convex output feedback problem on a convex optimisation one. A numerical example is presented to show the usefulness of the proposed results.
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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 | 0.001 | 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