pith:CSQ64K5R
Load Identification in Bistable Spacecraft Booms via Parametric Data-Driven Modeling
A single parametric transfer-function model estimates loads on bistable spacecraft booms from velocity data alone.
arxiv:2605.13818 v1 · 2026-05-13 · math.DS
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Claims
The single parametric model outperformed the best discrete non-parametric case, reducing the total relative force estimation error for the reference signal by nearly 38%.
That a parametric model fitted to only 15 discrete load levels will accurately capture the continuous nonlinear dependence on load amplitude and generalize to arbitrary input waveforms without overfitting or missing unmodeled dynamics.
A parametric data-driven model built with p-AAA reduces relative force estimation error by nearly 38% versus the best non-parametric model while generalizing across load amplitudes and input waveforms.
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Receipt and verification
| First computed | 2026-05-18T02:44:15.304430Z |
|---|---|
| Builder | pith-number-builder-2026-05-17-v1 |
| Signature | Pith Ed25519
(pith-v1-2026-05) · public key |
| Schema | pith-number/v1.0 |
Canonical hash
14a1ee2bb180cd6c5c247853b7f4303dc8758d2e3c31eba0b9e4a138f947da8e
Aliases
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Verify this Pith Number yourself
curl -sH 'Accept: application/ld+json' https://pith.science/pith/CSQ64K5RQDGWYXBEPBJ3P5BQHX \
| jq -c '.canonical_record' \
| python3 -c "import sys,json,hashlib; b=json.dumps(json.loads(sys.stdin.read()), sort_keys=True, separators=(',',':'), ensure_ascii=False).encode(); print(hashlib.sha256(b).hexdigest())"
# expect: 14a1ee2bb180cd6c5c247853b7f4303dc8758d2e3c31eba0b9e4a138f947da8e
Canonical record JSON
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