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  Optimal Power Extraction from Active Particles with Hidden States

Cocconi, L., Knight, J., & Roberts, C. (2023). Optimal Power Extraction from Active Particles with Hidden States. Physical Review Letters, 131(18): 188301. doi:10.1103/PhysRevLett.131.188301.

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PhysRevLett.131.188301.pdf (Publisher version), 496KB
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Cocconi, Luca1, Author                 
Knight, J., Author
Roberts, C., Author
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1Department of Living Matter Physics, Max Planck Institute for Dynamics and Self-Organization, Max Planck Society, ou_2570692              

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 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.

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Language(s): eng - English
 Dates: 2023-11-012023
 Publication Status: Issued
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 Rev. Type: Peer
 Identifiers: DOI: 10.1103/PhysRevLett.131.188301
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Title: Physical Review Letters
  Abbreviation : Phys. Rev. Lett.
Source Genre: Journal
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Publ. Info: Woodbury, N.Y. : American Physical Society
Pages: - Volume / Issue: 131 (18) Sequence Number: 188301 Start / End Page: - Identifier: ISSN: 0031-9007
CoNE: https://pure.mpg.de/cone/journals/resource/954925433406_1