Data-based adaptive second-order terminal sliding mode predictive control for nonlinear SISO systems with discrete-time dynamics
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Bibliographic record
Abstract
In this paper, we focus on the formulation of a novel control scheme for nonlinear discrete-time systems without the usage of model information, which integrates the terminal sliding mode control technique with model predictive control strategy. To deal with the disturbances the delay estimate method is employed. Moreover, the second-order sliding function is used to reduce the chattering phenomenon. Based upon the technique of partial form dynamic linearisation (PFDL), the proposed control algorithm is achieved. Moreover, with the aid of predictive control, the performance is further improved. The boundedness with respect to the sliding function and tracking error are proved via rigorous algebraic analysis. Finally, by providing an numerical simulation example and a practical simulation example of steam-water heat exchanger, the effectiveness of the proposed algorithm is validated. Moreover, the control performance is further improved by combining model predictive control with the proposed algorithm.
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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 | 0.001 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.002 |
| 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