In this section
@article{Cocconi:2023:10.1103/PhysRevLett.131.188301,
author = {Cocconi, L and Knight, J and Roberts, C},
doi = {10.1103/PhysRevLett.131.188301},
journal = {Phys Rev Lett},
title = {Optimal Power Extraction from Active Particles with Hidden States.},
url = {http://dx.doi.org/10.1103/PhysRevLett.131.188301},
volume = {131},
year = {2023}
}
TY - JOUR
AB - We identify generic protocols achieving optimal power extraction from a single active particle subject to continuous feedback control under the assumption that its spatial trajectory, but not its instantaneous self-propulsion force, 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 characterized 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.
AU - Cocconi,L
AU - Knight,J
AU - Roberts,C
DO - 10.1103/PhysRevLett.131.188301
PY - 2023///
TI - Optimal Power Extraction from Active Particles with Hidden States.
T2 - Phys Rev Lett
UR - http://dx.doi.org/10.1103/PhysRevLett.131.188301
UR - https://www.ncbi.nlm.nih.gov/pubmed/37977620
VL - 131
ER -