Improved-third-order-extended-state-observer-based sliding-mode control using singular perturbation theory for flexible-joint robot
Bibliographic record
Abstract
In order to cope with the changing industrial operation environment, based on the Flexible Joint Robot systems (FJR), this paper explores a control method of decoupling high-order systems by using singular perturbation theory (SPT). Considering the limitations of SPT in FJR systems, the method of introducing a saturated flexible compensator is used to change the premise that the joints need to be assumed to be weakly flexible, thereby expanding the application scope of SPT in such systems. Moreover, the improved third-order time-varying parameters extended state observer is used to observe the lumped interferences which can effectively suppress the peak problem caused by the initial value, and the adaptive continuous nonsingular fast terminal sliding film control method is combined to control the slow subsystem. Aiming at the fast subsystem, the integral flow is used to reconstruct and fast terminal sliding mode control method is combined to improve the initial oscillation problem.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".