A QFT-Based Decentralized Design Approach for Integrated Fault Detection and Control
Why this work is in the frame
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Bibliographic record
Abstract
A novel practically implementable design approach is presented for integrated fault detection and control (IFDC) of uncertain systems. The desired constraints in relation to fault detection (FD) and control objectives are simultaneously considered throughout the design, and mapped to equivalent graphical bounds in Nichols chart. The resulting feedback law is obtained through an interactive loop-shaping technique such that the design bounds are satisfied. The proposed graphical design approach has a number of exclusive benefits from engineering perspective, in terms of simplicity and applicability to a large variety of fault types and models, that are discussed in this paper. The effectiveness of the proposed technique is experimentally assessed using the Three-Tank, Amira DTS200, benchmark system in the presence of multiplicative actuator and sensor faults.
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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) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 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