On Steering Control of Commercial Three-Axle Vehicle
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 steering control laws of commercial three-axle vehicle are studied based on the closed-loop control model of the driver-vehicle-road. The steering characteristics of the three-axle vehicle can be improved through adding the steering of rear wheels. For a series of combined roads defined as standard roads where the vehicle is tested, a new proposal to optimize the design parameters of the steering system is presented. The cornering stiffness of front, middle and rear wheels and outer disturbance are considered as uncertain parameters varying over a limited range. A new controller of model-following variable structure is constructed and used for controlling front and rear wheels steering of the actual vehicle, so that the steering characteristics of the uncertain vehicle model and nonlinear vehicle model can follow the characteristics of the reference model (nominal model), namely, the vehicle can keep the same steering characteristics as the nominal model on the different roads. Simulation results have demonstrated that the proposed method is reasonable and practicable.
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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 | 0.001 | 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