Emotional Learning Based Position Control of Pneumatic Actuators
Why this work is in the frame
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Bibliographic record
Abstract
This paper presents a new scheme for position tracking of pneumatic actuators. The controller is built upon the Brain Emotional Learning Based Intelligent Control (BELBIC) concept proposed by Caro Lucas [Lucas, C., Shahmirzadi, D., & Sheikholeslami, N. (2004). Introducing BELBIC: Brain emotional learning based intelligent controller. International Journal of Intelligent Automation and Soft Computing, 10, 11–21]. First the structure of BELBIC is analyzed to further understand its features. Next, different types of emotional signals, required by BELBIC, are experimentally evaluated to meet the challenges in position tracking of pneumatic actuators. The best performing BELBIC structure is then experimentally compared with a previously developed robust proportional integral controller. It is also successfully applied to a force reflecting tele-operated application of pneumatic actuator.
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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) | 0.000 | 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