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Optimal Closed-Loop Control of Active Particles and a Minimal Information Engine

Rosalba Garcia-Millan1,2,3,*, Janik Schüttler2,*, Michael E. Cates2, and Sarah A. M. Loos2,†

  • *These authors contributed equally to this work.
  • †Contact author: sarah.loos@ds.mpg.de Present address: Max Planck Institute for Dynamics and Self-Organization, 37077 Göttingen, Germany.

Phys. Rev. Lett. 135, 088301 – Published 18 August, 2025

DOI: https://doi.org/10.1103/fbgp-qpvv

Abstract

We study the elementary problem of moving an active particle by a trap with minimum work input. We show analytically that (open-loop) optimal protocols are not affected by activity, but work fluctuations are always increased. For closed-loop protocols, which rely on initial measurements of the self-propulsion, the average work has a minimum for a finite persistence time. Using these insights, we derive an optimal periodic active information engine, which is found to have higher precision and information efficiency when operated with a run-and-tumble particle than for an active Ornstein-Uhlenbeck particle and, we argue, than for any other type of active particle.

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See Also

Active particles in moving traps: Minimum work protocols and information efficiency of work extraction

Janik Schüttler, Rosalba Garcia-Millan, Michael E. Cates, and Sarah A. M. Loos
Phys. Rev. E 112, 024119 (2025)

Article Text

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