Observer‐based memory‐event‐triggered controller design for quarter‐vehicle suspension systems subject to deception attacks
Why this work is in the frame
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Bibliographic record
Abstract
Abstract This paper concerns the problem of an observer‐based memory‐event‐triggered controller for quarter‐vehicle suspension systems (SSs) under deception attacks. The observer‐based controller is utilized to solve the difficulty that full state information of quarter‐vehicle SSs cannot be obtained. A memory‐event‐triggered mechanism (METM) considering both network load and observer performance is proposed, where the historical information of the measured output is utilized in the event‐triggered condition and the observer, reducing mal‐triggering events caused by abrupt disturbance and enhancing the sensitivity to deception attacks. Sufficient conditions that guarantees an performance of quarter‐vehicle SSs are presented. Finally, a simulation example under the bump road conditions is provided to validate the effectiveness of the derived controller.
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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