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Jarillo Díaz, Javier and Tangarife, Tomás and Cao García, Francisco Javier (2016) Efficiency at maximum power of a discrete feedback ratchet. Physical Review E, 93 (1). ISSN 15393755

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Official URL: http://dx.doi.org/10.1103/PhysRevE.93.012142
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http://journals.aps.org/  Publisher 
Abstract
Efficiency at maximum power is found to be of the same order for a feedback ratchet and for its openloop counterpart. However, feedback increases the output power up to a factor of five. This increase in output power is due to the increase in energy input and the effective entropy reduction obtained as a consequence of feedback. Optimal efficiency at maximum power is reached for time intervals between feedback actions two orders of magnitude smaller than the characteristic time of diffusion over a ratchet period length. The efficiency is computed consistently taking into account the correlation between the control actions. We consider a feedback control protocol for a discrete feedback flashing ratchet, which works against an external load. We maximize the power output optimizing the parameters of the ratchet, the controller, and the external load. The maximum power output is found to be upper bounded, so the attainable extracted power is limited. After, we compute an upper bound for the efficiency of this isothermal feedback ratchet at maximum power output. We make this computation applying recent developments of the thermodynamics of feedbackcontrolled systems, which give an equation to compute the entropy reduction due to information. However, this equation requires the computation of the probability of each of the possible sequences of the controller's actions. This computation becomes involved when the sequence of the controller's actions is nonMarkovian, as is the case in most feedback ratchets. We here introduce an alternative procedure to set strong bounds to the entropy reduction in order to compute its value. In this procedure the bounds are evaluated in a quasiMarkovian limit, which emerge when there are big differences between the stationary probabilities of the system states. These big differences are an effect of the potential strength, which minimizes the departures from the Markovianicity of the sequence of control actions, allowing also to minimize the departures from the optimal performance of the system. This procedure can be applied to other feedback ratchets and, more in general, to other control systems.
Item Type:  Article 

Additional Information:  ©2016 American Physical Society. 
Uncontrolled Keywords:  Controlled brownian ratchet; Maxwells demon; Information; Systems; Motors; Thermodynamics; Transport. 
Subjects:  Sciences > Physics > Nuclear physics 
ID Code:  37282 
Deposited On:  25 Apr 2016 15:17 
Last Modified:  10 Dec 2018 14:57 
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