Enhancement of vehicle stability through integration of direct yaw moment and active rear steering
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
Coordination of chassis control systems can contribute to an improved overall performance of a vehicle. In this paper, a novel vehicle stability control scheme is proposed that integrates both the direct yaw moment control and active rear steering. The controller is synthesized via an upper-level control structure and a lower-level control structure. The required yaw moment and rear steering angle are generated using a sliding-mode controller in the upper-level control. The stability of a sliding-mode controller is proved using a Lyapunov function. The yaw moment is subsequently realized by distributing the braking torque between appropriate wheels in the lower-level control using a braking torque distribution scheme. The effectiveness of the proposed controller is demonstrated through open-loop and closed-loop simulations of a non-linear vehicle model, in terms of selected vehicle handling and control performance measures, namely yaw rate and side-slip angle tracking. The results obtained for different manoeuvres suggest that the proposed two-level control scheme can help to achieve substantial enhancements in the handling performance and the stability performance of the vehicle.
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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 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 | 0.000 |
| 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