Time-Delayed Feedback control of a flashing ratchet
M. Feito, F. J. Cao

TL;DR
This paper investigates how time delays in feedback control affect the performance of flashing ratchets, revealing that small delays reduce efficiency while larger delays can unexpectedly enhance performance through stabilizing quasiperiodic solutions.
Contribution
It provides a detailed analysis of delay effects in feedback-controlled ratchets, showing that delays can both hinder and improve system performance, including the discovery of delay-induced stabilization phenomena.
Findings
Flux decreases with delay for few particles
Large delays can enhance performance to optimal levels
Delay-induced multistability stabilizes quasiperiodic solutions
Abstract
Closed-loop or feedback control ratchets use information about the state of the system to operate with the aim of maximizing the performance of the system. In this paper we investigate the effects of a time delay in the feedback for a protocol that performs an instantaneous maximization of the center-of-mass velocity. For the one and the few particle cases the flux decreases with increasing delay, as an effect of the decorrelation of the present state of the system with the information that the controller uses, but the delayed closed-loop protocol succeeds to perform better than its open-loop counterpart provided the delays are smaller than the characteristic times of the Brownian ratchet. For the many particle case, we also show that for small delays the center-of-mass velocity decreases for increasing delays. However, for large delays we find the surprising result that the presence of…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
