Integral sliding mode predictive control with disturbance attenuation for discrete‐time systems
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Bibliographic record
Abstract
Abstract In this paper, the output tracking control is addressed for discrete‐time multi‐input‐multi‐output nonlinear systems subjected to external disturbance by a novel output‐based discrete‐time integral sliding mode predictive control scheme. First of all, a control law is proposed based on a new type of discrete‐time integral sliding mode surfaces. To further improve control accuracy, an integral sliding mode predictive control law is obtained in combination with the designed integral sliding mode control and model predictive control. Rigorous analysis is provided to demonstrate that the quasi‐sliding‐mode band width and ultimate bound of output tracking error under the designed discrete‐time integral sliding mode predictive control law are of higher accuracy than those under the designed integral sliding mode control law. Numerical simulations are performed to illustrate that the presented integral sliding mode predictive control law offers better performance than the proposed integral sliding mode control law.
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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 | 0.000 | 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