Combined H-Infinity Model-Matching Control and Dual-rate Digital Redesign for Missile Acceleration Autopilots
Bibliographic record
Abstract
This paper proposes a missile acceleration autopilot obtained via H ∞ model-matching control and dual-rate digital redesign. The first stage of the procedure consists in solving an H ∞ model-matching problem in continuous-time. The second stage of the proposed approach is the conversion of the optimal continuous-time control system to a fast-inner-loop rate, slow-outer-loop rate digital control system using a dual-rate digital redesign approach which takes into account the closed-loop dynamics of the missile autopilot in the conversion. Reducing the order of the autopilot transfer functions and scheduling the controllers over the entire flight envelope constitute the last stages of the proposed approach. The proposed dual-rate missile acceleration autopilot is very useful in practice since it provides satisfactory closed-loop performances over an extended range of sampling rates, as compared with other digital autopilots. A nonlinear missile airframe dynamics model is used to demonstrate the application of the proposed missile autopilot design technique and the comparison with well-known approaches.
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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".