Robust adaptive multivariable bi-limit homogeneous higher-order sliding mode flight control for AHVs with actuator faults
Bibliographic record
Abstract
This paper presents an adaptive multivariable bi-limit homogeneous higher-order sliding mode control (HOSMC) for the longitudinal model of an air-breathing hypersonic vehicle (AHV) under system uncertainties and actuator faults. First, a bi-limit homogeneous finite-time control law is designed for a chain of integrators. Second, based on the input/output feedback linearization technique, the system uncertainties and external disturbances are modeled as additive uncertainty, while the actuator faults are modeled as multiplicative uncertainty. By using the proposed bi-limit homogeneous finite-time control law, a robust multivariable HOSMC is designed for the AHV with actuator faults. Finally, adaptive laws are proposed for the adaptation of the parameters within the robust multivariable HOSMC context. Thus, the bounds of the uncertainties are no longer needed in the control system design. Simulation results show the effectiveness of the proposed robust adaptive bi-limit homogeneous multivariable HOSMC.
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.
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) | 0.001 | 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 | 0.001 |
| Open science | 0.001 | 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".