Fuzzy Sliding Mode Control For Inverted Pendulum With Random Disturbance
Bibliographic record
Abstract
In this paper, a novel inverted pendulum with a motor-driven random disturbance rod at the top is presented, which is different from the normal inverted pendulum. The simplified mathematic model of the control system is established on the basis of dynamic equations. The traditional PID control method is adopted and proved invalid for this system. Then Sliding Mode Control is used for the system due to its strong anti-interference ability. To weakening the chattering which is common in Sliding Mode Control, Fuzzy Sliding Mode Control is developed using fuzzy inference to adjust the thickness of the boundary layer in real time. A simulation of the control system is produced by combing the software MATLAB/Simulink and Adams, which can real-time display the movement of the system during simulation. The theoretical analysis and simulation results verify the rationality of the proposed control method for the inverted pendulum with random disturbance.
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How this classification was reachedexpand
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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".