Dissipativity based anti-disturbance event-triggered tracking control of time-delay switched linear systems and its application to the conversion mode of XV-15 tilt-rotor aircraft
Bibliographic record
Abstract
In this paper, a dissipativity-based tracking problem is studied for the time-delay switched linear system with disturbances. First, a composite disturbance observer is designed to estimate the nonlinear modeling disturbances and suppress the external disturbances with bounded energy. Then, to eliminate the adverse effects of time-delay on the system, the Lyapunov-Krasovskii functional is designed, and the feasible conditions related to the time-delay are established. In addition, the switch tracking controller is designed by combining the dissipation theory and the average dwell time technology. Furthermore, to reduce the quantity of signal transmission in the control process, an event-triggered control scheme is designed, and the trigger threshold function related to the tracking error is introduced, so that the trigger interval is adjusted with the tracking error. Using the Lyapunov theory and Jensen inequality method with low conservatism, a set of linear matrix inequality conditions are acquired. Finally, the simulation analysis of the conversion mode of XV-15 tilt-rotor aircraft shows that the proposed scheme is effective.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".