Acceleration-Based Vibration Control for Structural Systems with Actuator Faults and Finite-Time State Constraint
Bibliographic record
Abstract
The problem of acceleration-based vibration control for structural systems with actuator faults and finite-time state-constraint is discussed in this paper. The objective of designing controllers is to guarantee the closed-loop systems satisfying a finite-time state-constraint condition while having a prescribed level of acceleration attenuation performance. First, by describing the actuator faults into a fault matrix, the actuator-fault-included state-space model, with the acceleration as its controlled output, is obtained. Then, based on a combination of matrices and rank-1 vectors, the obtained model is extended to its uncertain description which contains parameter uncertainties appearing in all the mass, damping and stiffness matrices. Second, based on the finite-time stability analysis, the sufficient conditions for the existence of acceleration-based vibration controllers are obtained. By solving these conditions, the desired controllers, with considerations of actuator faults and parameters uncertainties, are obtained for the closed-loop system to be stable with finite-time state-constraint and acceleration-based H-infinite performance. In the end, simulation results are given to show the effectiveness of the proposed theorems.
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How this classification was reachedexpand
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 | 0.001 |
| 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".