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Journal ArticleDOI

Feedback for physicists: A tutorial essay on control

John Bechhoefer
- 31 Aug 2005 - 
- Vol. 77, Iss: 3, pp 783-836
TLDR
In this paper, a tutorial essay aims to give enough of the formal elements of control theory to satisfy the experimentalist designing or running a typical physics experiment and enough to satisfy a theorist wishing to understand its broader intellectual context.
Abstract
Feedback and control theory are important ideas that should form part of the education of a physicist but rarely do. This tutorial essay aims to give enough of the formal elements of control theory to satisfy the experimentalist designing or running a typical physics experiment and enough to satisfy the theorist wishing to understand its broader intellectual context. The level is generally simple, although more advanced methods are also introduced. Several types of applications are discussed, as the practical uses of feedback extend far beyond the simple regulation problems where it is most often employed. Sketches are then provided of some of the broader implications and applications of control theory, especially in biology, which are topics of active research.

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Citations
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Journal ArticleDOI

Rocking feedback-controlled ratchets.

TL;DR: It is shown that for both the one-particle ratchet and the collective version of the ratchet an appropriate rocking increases the flux, which gives the maximum flux that has been achieved in a ratchet device without an a priori bias.
Journal ArticleDOI

Dual-Axis Closed Loop of a Single-Beam Atomic Magnetometer: Toward High Bandwidth and High Sensitivity

TL;DR: In this article, the authors demonstrate the dual-axis closed-loop control of a single-beam SERF magnetometer that allows sensing of two orthogonal magnetic fields simultaneously and independently with suppressed crosstalk effect.
Book ChapterDOI

Efficiency, Robustness, and Stochasticity of Gene Regulatory Networks in Systems Biology: λ Switch as a Working Example

TL;DR: This chapter reviews the recent theoretical and experimental efforts on tackling the so-called stability puzzle of the λ switch, and places an emphasis on the minimum quantitative modeling, where a successful numerical agreement between experiments and modeling has been achieved.
Journal ArticleDOI

Hidden Markov models for stochastic thermodynamics

TL;DR: In this paper, the authors present a formalism of state estimation and hidden Markov models (HMMs) to simplify and clarify the discussion of stochastic thermodynamics in the presence of feedback and measurement errors.
Journal ArticleDOI

Autonomous illumination control for localization microscopy

TL;DR: This work develops a flexible illumination control system for localization microscopy comprised of two interacting components that require no sample-specific inputs: a self-tuning controller and a deep learning-based molecule density estimator that is accurate over an extended range of densities.
References
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Book

Elements of information theory

TL;DR: The author examines the role of entropy, inequality, and randomness in the design of codes and the construction of codes in the rapidly changing environment.
Book

System Identification: Theory for the User

Lennart Ljung
TL;DR: Das Buch behandelt die Systemidentifizierung in dem theoretischen Bereich, der direkte Auswirkungen auf Verstaendnis and praktische Anwendung der verschiedenen Verfahren zur IdentifIZierung hat.
Journal ArticleDOI

Statistical mechanics of complex networks

TL;DR: In this paper, a simple model based on the power-law degree distribution of real networks was proposed, which was able to reproduce the power law degree distribution in real networks and to capture the evolution of networks, not just their static topology.
Journal ArticleDOI

The Structure and Function of Complex Networks

Mark Newman
- 01 Jan 2003 - 
TL;DR: Developments in this field are reviewed, including such concepts as the small-world effect, degree distributions, clustering, network correlations, random graph models, models of network growth and preferential attachment, and dynamical processes taking place on networks.
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