Linear-Graph Modeling Paradigms for Mechatronic Systems
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
Concepts of mechatronics are applicable to complex and multi-domain dynamic systems. Proper modeling of such systems can benefit analysis, simulation, design and control of these systems. The linear-graph (LG) approach is particularly suitable in mechatronic modeling because it presents a unified way to represent different domains and also provides a direct correspondence to the topology of the physical components of a system. This paper presents some useful concepts of graph trees and generalized equivalent circuits as applied to LGs, which can facilitate modeling of mechatronic systems. The significance and application of the presented paradigms of modeling are indicated using examples. These paradigms have been integrated into both an undergraduate course and a postgraduate course on the modeling of dynamic systems. Students have appreciated this integrated and systematic approach to modeling of multi-domain (mechatronic) systems.
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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 | 0.001 |
| Open science | 0.001 | 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