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相关论文: Information and maximum power in a feedback contro…

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Feedback control uses the state information of the system to actuate on it. The information used implies an effective entropy reduction of the controlled system, potentially increasing its performance. How to compute this entropy reduction…

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…

统计力学 · 物理学 2007-12-13 M. Feito , F. J. Cao

Feedback or closed-loop control allows dynamical systems to increase their performance up to a limit imposed by the second law of thermodynamics. It is expected that within this limit, the system performance increases as the controller uses…

统计力学 · 物理学 2012-05-22 F. J. Cao , M. Feito

A Brownian information machine extracts work from a heat bath through a feedback process that exploits the information acquired in a measurement. For the paradigmatic case of a particle trapped in a harmonic potential, we determine how…

统计力学 · 物理学 2012-04-09 Michael Bauer , David Abreu , Udo Seifert

An ensemble of Brownian particles in a feedback controlled flashing ratchet is studied. The ratchet potential is switched on and off depending on the position of the particles, with the aim of maximizing the current. We study in detail a…

统计力学 · 物理学 2007-05-23 F. J. Cao , L. Dinis , J. M. R. Parrondo

We show how to switch on and off the ratchet potential of a collective Brownian motor, depending only on the position of the particles, in order to attain a current higher than or at least equal to that induced by any periodic flashing.…

统计力学 · 物理学 2007-09-19 L. Dinis , J. M. R. Parrondo , F. J. Cao

Feedback flashing ratchets are thermal rectifiers that use information on the state of the system to operate the switching on and off a periodic potential. We discuss different strategies for this operation with the aim of maximizing the…

统计力学 · 物理学 2009-01-06 M. Feito , F. J. Cao

The efficiency of different types of Brownian motors is calculated analytically and numerically. We find that motors based on flashing ratchets present a low efficiency and an unavoidable entropy production. On the other hand, a certain…

统计力学 · 物理学 2009-10-31 J. M. R. Parrondo , J. M. Blanco , F. J. Cao , R. Brito

We describe an experiment on an underdamped mechanical oscillator used as an information engine. The system is equivalent to an inertial Brownian particle confined in a harmonic potential whose center is controlled by a feedback protocol…

We investigate the different regimes that emerge when a periodic driving force, the rocking force, acts on a collective feedback flashing ratchet. The interplay of the rocking and the feedback control gives a rich dynamics with different…

其他凝聚态物理 · 物理学 2009-09-28 M. Feito , J. P. Baltanas , F. J. Cao

A flashing ratchet transports diffusive particles using a time-dependent, asymmetric potential. Particle speed is predicted to increase when a feedback algorithm based on particle positions is used. We have experimentally realized such a…

统计力学 · 物理学 2008-11-26 Benjamin J. Lopez , Nathan J. Kuwada , Erin M. Craig , Brian R. Long , Heiner Linke

A collective flashing ratchet transports Brownian particles using a spatially periodic, asymmetric, and time-dependent on-off switchable potential. The net current of the particles in this system can be substantially increased by feedback…

机器学习 · 计算机科学 2021-04-14 Dong-Kyum Kim , Hawoong Jeong

Information-driven engines that rectify thermal fluctuations are a modern realization of the Maxwell-demon thought experiment. We introduce a simple design based on a heavy colloidal particle, held by an optical trap and immersed in water.…

统计力学 · 物理学 2021-05-21 Tushar K. Saha , Joseph N. E. Lucero , Jannik Ehrich , David A. Sivak , John Bechhoefer

A Brownian information engine is a device extracting a mechanical work from a single heat bath by exploiting the information on the state of a Brownian particle immersed in the bath. As for engines, it is important to find the optimal…

统计力学 · 物理学 2016-04-06 J. -M. Park , J. S. Lee , J. D. Noh

We consider a Geometric Brownian Information Engine to explore the effects of finite cycle time $(\tau)$ on the extractable work, power, and efficiency. We incorporate an error-free feedback controller that converts the information obtained…

统计力学 · 物理学 2025-06-23 Syed Yunus Ali , Rafna Rafeek , Debasish Mondal

A ratchet model for coupled Brownian motors, inspired by the motion of individual two-headed molecular motors on cytoskeletal filaments, is proposed. Such motors are modeled as two elastically coupled Brownian particles, each of which moves…

软凝聚态物质 · 物理学 2009-11-07 Debasis Dan , A. M. Jayannavar , Gautam I. Menon

We introduce the family of limited model information control design methods, which construct controllers by accessing the plant's model in a constrained way, according to a given design graph. We investigate the closed-loop performance…

最优化与控制 · 数学 2013-01-08 Farhad Farokhi , Cedric Langbort , Karl H. Johansson

In this paper, we present an impedance control design for multi-variable linear and nonlinear robotic systems. The control design considers force and state feedback to improve the performance of the closed loop. Simultaneous feedback of…

机器人学 · 计算机科学 2020-10-27 Alejandro Donaire , Luigi Villani , Fanny Ficuciello , Juan Tomassini , Bruno Siciliano

It was recently shown that the use of feedback control can improve the performance of a flashing ratchet. We investigate the effect of a time delay in the implementation of feedback control in a closed-loop collective flashing ratchet,…

统计力学 · 物理学 2009-11-13 E. M. Craig , B. R. Long , J. M. R. Parrondo , H. Linke

We study the optimal performance of an information engine consisting of an overdamped Brownian bead confined in a controllable, $d$-dimensional harmonic trap and additionally subjected to gravity. The trap's center is updated dynamically…

统计力学 · 物理学 2026-02-18 Antonio Patrón Castro , John Bechhoefer , David A. Sivak
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