AVOA-Based Tuning of Low-Cost Fuzzy Controllers for Tower Crane Systems
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Bibliographic record
Abstract
This paper proposes the African Vultures Optimization Algorithm (AVOA)-based tuning of low-cost fuzzy controllers for the payload position control of tower crane systems. The fuzzy controllers are built around first order discrete-time intelligent Proportional-Integral (iPI) controllers with Takagi-Sugeno-Kang Proportional-Derivative (PD) fuzzy terms. The parameters of the fuzzy controllers are optimally tuned using the recent metaheuristic AVOA, which solves an optimization problem with the cost function defined as the sum of squared control error multiplied by time, and its variables are the controller tuning parameters. The control system performance improvement is proved in terms of applying only five iterations of AVOA, and the comparison with other metaheuristic algorithms that solve the same optimization problem is carried out on the basis of real-time experimental results.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.004 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| 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