I’d start with a Kalman‑filter style predictor—mathematically optimal for noisy motion—then layer a pattern‑based tweak loop on top. Use the recent trajectory to fit a simple least‑squares curve, then feed that back into the modulator as a micro‑adjustment. Keep the weights tidy and the residual error forming a regular pattern; that’s a sign you’re on the right track. If you notice the error wobbling, tighten the gain until it’s a gentle, predictable ripple instead of chaotic jitter. That mix of precision math and elegant pattern should give you the beam stability you’re after.

Sounds good—just keep the adjustments neat and the pattern obvious. If the residuals drift, a gentle gain tweak should pull them back into a clean ripple. That balance keeps the system both precise and elegant.