随机热力学中的最优控制

IF 1.1 Q3 PHYSICS, MULTIDISCIPLINARY Journal of Physics Communications Pub Date : 2022-12-01 DOI:10.1088/2399-6528/acbf04
Steven Blaber, David A. Sivak
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引用次数: 7

摘要

综述了随机热力学中最优控制的最新研究进展。理论的进步提供了对最小耗散控制的深入了解,无论是完全控制还是有限(参数)控制,以及从慢到快驾驶和从弱到强驾驶的限制。已知的精确解为最小耗散控制的性质提供了一个窗口,这些性质可以在有关极限内用近似方法再现。最优输运理论与完全控制下的最小耗散协议之间的联系,使我们对最优控制的性质有了深刻的认识,并为热力学过程的耗散设定了界限。由于对最小耗散协议的理解相对较好,并且已经开发了用于估计最小耗散协议的先进近似方法和数值技术,现在是将最小耗散协议应用于化学和生物系统的时机。
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Optimal control in stochastic thermodynamics
We review recent progress in optimal control in stochastic thermodynamics. Theoretical advances provide in-depth insight into minimum-dissipation control with either full or limited (parametric) control, and spanning the limits from slow to fast driving and from weak to strong driving. Known exact solutions give a window into the properties of minimum-dissipation control, which are reproduced by approximate methods in the relevant limits. Connections between optimal-transport theory and minimum-dissipation protocols under full control give deep insight into the properties of optimal control and place bounds on the dissipation of thermodynamic processes. Since minimum-dissipation protocols are relatively well understood and advanced approximation methods and numerical techniques for estimating minimum-dissipation protocols have been developed, now is an opportune time for application to chemical and biological systems.
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来源期刊
Journal of Physics Communications
Journal of Physics Communications PHYSICS, MULTIDISCIPLINARY-
CiteScore
2.60
自引率
0.00%
发文量
114
审稿时长
10 weeks
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