Hybrid Finite-Frequency Attitude Control Motivated by Volterra Series
Bibliographic record
Abstract
An analytical solution of Euler’s equation is exhibited using the Volterra series theory in the frequency domain. Based on the Volterra series, the nonlinear output frequency response functions of Euler’s equation are formulated by a numerical algorithm to reveal an energy-transfer phenomenon. The output responses of Euler’s equation have some higher frequency parts than those of the inputs. It provides motivation to design a finite-frequency controller for Euler’s equation to accommodate the high-frequency parts of the outputs. A hybrid passive/finite gain control scheme fused with the generalized Kalman–Yakubovich–Popov lemma is used to generate a controller that is effective for stabilizing the angular velocities of Euler’s equation. Additionally, quaternions are considered in the proposed hybrid finite-frequency controller to stabilize the attitude of spacecraft. Simulation results are demonstrated to validate the effectiveness of the proposed control schemes.
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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".