Optimal power extraction from active particles with hidden states
File(s)PhysRevLett.131.188301.pdf (495.33 KB)
Published version
Author(s)
Cocconi, Luca
Knight, Jacob
Roberts, Connor
Type
Journal Article
Abstract
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.
Date Issued
2023-11-03
Date Acceptance
2023-10-12
Citation
Physical Review Letters, 2023, 131 (18)
ISSN
0031-9007
Publisher
American Physical Society (APS)
Journal / Book Title
Physical Review Letters
Volume
131
Issue
18
Copyright Statement
Published by the American Physical Society Published by the American Physical Society under the terms of the Creative Commons Attribution 4.0 International license. Further distribution of this work must maintain attribution to the author(s) and the published article’s title, journal citation, and DOI.
License URL
Identifier
https://www.ncbi.nlm.nih.gov/pubmed/37977620
Publication Status
Published
Coverage Spatial
United States
Article Number
188301
Date Publish Online
2023-11-01