Learned Bow Control on a Measured Bowed-String Model: a Revised Minimum-Bow-Force Law, a Recurrent Controller, and the Domain of a Supervision Ceiling

arXiv:2609.14990 · eess.AS, cs.LG, cs.SD, cs.SY, eess.SY · Submitted 2026-09-14 · Read on arXiv

eess.AS, cs.LG, cs.SD, cs.SY, eess.SY

Submitted: 2026-09-14

Updated: 2026-09-28

Comments: 35 pages, 21 tables, 23 figures, 45 references

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Interpretability — 10× in this paper · explained in 15 episodes
• Ablation — 9× in this paper · explained in 1 episode
• Fine-Tuning — 3× in this paper · explained in 5 episodes
• Accuracy — 2× in this paper · explained in 1 episode
• Regularization — 2× in this paper · explained in 3 episodes
• Trace — 2× in this paper · explained in 2 episodes
• Adam — 1× in this paper · explained in 2 episodes
• Aggregation — 1× in this paper · explained in 1 episode
• Closed-Loop Control — 1× in this paper · explained in 3 episodes
• Distribution Shift — 1× in this paper · explained in 5 episodes
• Hysteresis — 1× in this paper · explained in 3 episodes
• Regret — 1× in this paper · explained in 3 episodes
• Robustness — 1× in this paper · explained in 5 episodes
• Sample Efficiency — 1× in this paper · explained in 4 episodes
• Verification — 1× in this paper · explained in 2 episodes

Sources

• Physics-Informed Deep Learning for Nonlinear Friction Model of Bow-string Interaction
• Torsional waves in a bowed string
• KAN: Kolmogorov-Arnold Networks

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