SKM 2023 – wissenschaftliches Programm
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DY: Fachverband Dynamik und Statistische Physik
DY 34: Statistical Physics: Far From Equilibrium II
DY 34.4: Vortrag
Mittwoch, 29. März 2023, 17:30–17:45, ZEU 250
Optimal power extraction from active particles with hidden states — •Luca Cocconi1,2, Jacob Knight2, and Connor Roberts2 — 1The Francis Crick Institute, London — 2Imperial College, London
We identify generic protocols achieving optimal power extraction from a single active particle subject to continuous feedback control under the assumption that the instantaneous velocity, but not the fluctuating self-propulsion velocity, is accessible to direct observation. Our Bayesian approach draws on the Onsager-Machlup path integral formalism and is exemplified in the cases of free run-and-tumble and active Ornstein-Uhlenbeck dynamics in one dimension. Such optimal protocols extract positive work even in models characterised by time-symmetric positional trajectories and thus vanishing informational entropy production rates. We argue that the theoretical bounds derived in this work are those against which the performance of realistic active matter engines should be compared.