Adaptive Control of a Ball and Beam System
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
Ball and beam balancing systems are commonly found in control systems laboratories because they are mechanically simple while presenting the challenge of controlling a nonlinear system. The main ideas of this paper are to model the ball and beam system and to control it using adaptive control. The model was formed by separating the system into two parts, and this was then controlled using a cascading control scheme. For the inner loop control, the motor was controlled using simple adaptive control (SAC) and compared to proportional derivative (PD) control. In the outer loop with the ball and beam system, ball position was controlled using PD control and was compared to linear quadratic regulator (LQR) control. Experimental results show that though PD control performed better when only controlling the motor, SAC performed better in the cascading control scheme when paired with either PD or LQR as outer loop control. When comparing PD and LQR, the results show that PD performs better.
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) | 0.000 | 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