@unpublished{Cocconi:2022,
author = {Cocconi, L and Knight, J and Roberts, C},
publisher = {arXiv},
title = {Optimal power extraction from active particles with hidden states},
url = {http://arxiv.org/abs/2211.16377v1},
year = {2022}
}

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TY  - UNPB
AB  - We identify generic protocols achieving optimal power extraction from asingle active particle subject to continuous feedback control under theassumption that the instantaneous velocity, but not the fluctuatingself-propulsion velocity, is accessible to direct observation. Our Bayesianapproach draws on the Onsager-Machlup path integral formalism and isexemplified in the cases of free run-and-tumble and active Ornstein-Uhlenbeckdynamics in one dimension. Such optimal protocols extract positive work even inmodels characterised by time-symmetric positional trajectories and thusvanishing informational entropy production rates. We argue that the theoreticalbounds derived in this work are those against which the performance ofrealistic active matter engines should be compared.
AU  - Cocconi,L
AU  - Knight,J
AU  - Roberts,C
PB  - arXiv
PY  - 2022///
TI  - Optimal power extraction from active particles with hidden states
UR  - http://arxiv.org/abs/2211.16377v1
UR  - http://hdl.handle.net/10044/1/101248
ER  - 

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