Fault tolerant control using linear quadratic technique against actuator faults in a UAV
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The paper presents an optimal fault tolerant control solution against the actuator faults in unmanned aerial vehicles (UAVs). A set of potential actuator fault scenarios are determined for the design of the fault tolerant controller. Controller design based on a linear quadratic (LQ) technique is chosen to be used for fault tolerant control design with the reformulated algebraic Riccati equation. In designing the fault tolerant controller gain, algebraic Riccati equation is reformulated to satisfy the stability and performance requirement under all the known fault scenarios. Weighting matrices Q and R are chosen in a way using method which can still maintain post-failure system's stability and acceptable performance with the desired redefined pole positions. The good performance is showed in simulations with respect to different fault scenarios considered in designing the fault tolerant controller for a UAV.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 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 | 0.001 |
| 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